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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Join Our Team at Eaton: Empowering Tomorrow, Today!</span></p><br><br><p><span>Eaton has been a key player in the Middle East for 40 years. In July 2024, we announced the construction of a new sustainable&nbsp;<strong>campus in Dubai</strong>, which will bring together our commercial, manufacturing, and support functions, providing room for future growth.&nbsp;</span></p><br><br><p><span><strong>About Us:</strong></span></p><br><br><p><span>Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.</span></p><br><br><p>Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future. </p><br><br><p>Within this segment, Eaton has an opening for a Specialist Engineer for Quality Assurance &amp; Testing. This position is a globally scoped, senior level individual contributor responsible for defining, executing, and continuously improving quality assurance and testing mechanisms across post order execution. This role ensures that products, solutions, services, and delivery outcomes meet defined quality standards before customer impact, shifting quality from reactive inspection to proactive assurance.</p><br><br><p>Operating within the Post Order CoE, this role works in close partnership with the Quality Specialist – Process and the Quality Manager for Global Data Center Segment, ensuring that defined processes are not only well designed, but also verified, tested, and adhered to in real execution environments across regions.</p><br><br>What you’ll do: <br><p><br>Quality Assurance &amp; Testing Frameworks</p><br><br><ul><li>Translate product design requirements into manufacturable solutions, ensuring Design for Manufacturing (DFM) alignment with R&amp;D teams.</li><li>Develop and standardize industrialization methodologies, processes and best practices, contributing to manufacturing engineering knowledge and capability</li><li>Design and maintain global quality assurance and testing strategies for post order execution across products, solutions, and services within the Global Data Center Segment using innovative engineering solutions to address complex challenges.</li><li>Define test plans, validation criteria, and acceptance standards aligned to global quality policies, customer requirements, and risk profiles.</li><li>Ensure quality controls are embedded at critical execution milestones, not solely at final delivery using operational technical engineering excellence frameworks.</li></ul><p><br>Execution Validation &amp; Risk Prevention<br>• Execute and govern assurance activities including audits, validation reviews, readiness assessments, and controlled testing of post order deliverables.<br>• Identify execution risks, systemic defects, and non conformances early; drive root cause analysis and corrective/preventive actions in partnership with operations, engineering, and services teams.<br>• Support escalation and containment for quality issues impacting strategic or multi region data center programs.<br>Global Standardization &amp; Consistency<br>• Enable consistent application of quality assurance and testing practices across regions, balancing global standards with local regulatory and customer specific requirements.<br>• Support global deployment of new offers, tools, or execution models by validating readiness and quality robustness prior to scale up.<br>Collaboration &amp; Integration<br>• Partner closely with the Quality Analyst – Process to ensure process design and assurance mechanisms are tightly integrated and mutually reinforcing.<br>• Collaborate with Engineering, Project Management, Services, Supply Chain, and Commercial teams to align quality expectations and execution realities.<br>• Act as a quality subject matter expert for post order execution in global forums and improvement initiatives.<br>Continuous Improvement &amp; Insights<br>• Analyze quality performance data, testing results, and execution outcomes to identify trends, systemic gaps, and improvement opportunities.<br>• Contribute to continuous improvement initiatives within the Post Order CoE, strengthening Eaton’s execution maturity and customer confidence.</p><br><br>Qualifications: <br><p>• Bachelor’s degree in engineering, Quality, Operations, or a related technical discipline from an accredited institution.<br>• Minimum of (8) years of progressive experience in quality assurance, testing, execution governance, or operational excellence within complex, global environments.<br>• Minimum of (12) years of progressive experience in quality assurance, testing, execution governance, or operational excellence within complex, global environments.<br>• Demonstrated experience supporting large, engineered solutions, capital projects, or services delivery, ideally within data centers, critical power, infrastructure, or adjacent industries.<br>• Formal quality or continuous improvement certifications (e.g., Lean, Six Sigma, ISO‑related frameworks).<br>• Experience driving standard work and continuous improvement across regions (process discipline + pragmatism).<br>• Experience working in or leading teams based in the Middle East or other global hubs.</p><br><br>Skills: <br><p>• Strong knowledge of quality assurance methodologies, testing frameworks, and risk based quality controls.&nbsp;<br>• Familiarity with quality standards and methodologies (e.g., ISO, APQP, stage gate reviews, audit practices).&nbsp;<br>• Ability to translate quality principles into practical, execution ready controls.&nbsp;<br>• Data driven mindset with experience using metrics, dashboards, and insights to influence decisions.&nbsp;<br>• Strong communication, influence, and stakeholder management skills across cultures and seniority levels.<br>• Demonstrated experience working in a global, matrixed organization and influencing cross-functional stakeholders.&nbsp;<br>• Proven experience operating at a global or enterprise level, supporting multi‑region delivery models.<br>• Ability to translate quality principles into practical, execution ready controls.&nbsp;<br>• Data driven mindset with experience using metrics, dashboards, and insights to influence decisions.&nbsp;<br>• Strong communication, influence, and stakeholder management skills across cultures and seniority levels.</p><br><br><p><span>Living and Working in Dubai</span></p><br><br><p><span>Dubai is a vibrant, cosmopolitan city known for its modern architecture, luxurious lifestyle, and rich cultural heritage. Living and working in Dubai offers an exceptional quality of life with world-class amenities, a safe environment, and a thriving expatriate community. Experience a dynamic blend of work and leisure in one of the world’s most exciting cities.</span></p><br><br><br><p><span>Ready to make a difference? Join Eaton’s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!</span></p><br><br><br><p><span>We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.</span></p><br><br><p><span>#LI-NY1</span></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Job Summary</b> <br></span><p><span>• &nbsp; &nbsp;SC Ventures is Standard Chartered’s innovation, fintech investment and ventures arm. We were established to reinvent banking, as the significant technological disruptions to the industry was impacting its ability to serve clients and customers, in the ways they needed to be served.</span><br><span>• &nbsp; &nbsp;We are a unique ecosystem of innovators, banking experts, business builders and partners who are focused on rewiring the DNA in banking and bringing breakthrough ideas to scale, together.</span><br><span>• &nbsp; &nbsp;We are building ecosystems around four high conviction themes: Online Economy &amp; Lifestyle, SMEs &amp; World Trade, Digital Assets, and Sustainability &amp; Inclusion.</span><br><span>• &nbsp; &nbsp;We are a global team of "Members" (excluding individual ventures), including dedicated colleagues from the Group's support functions, based in Singapore, Hong Kong, London, and the United Arab Emirates</span></p><br><br> <p><span><strong>About The Role</strong></span><br><span>• &nbsp; &nbsp;Coordinator will support the day-to-day manual operations of the marketplace, ensuring smooth execution across customer support, catalogue management, customer onboarding, fulfilment, order management, refunds and returns.</span><br><span>• &nbsp; &nbsp;This role is highly operational and detail-oriented, acting as a coordination point between internal teams, buyers, sellers and logistics partners to maintain service quality and operational continuity</span></p><br><br><b>Key Responsibilities</b> <br><p><span><strong>Strategy</strong></span><br><span>• &nbsp; &nbsp;Identify recurring operational issues, document process gaps, and recommend improvements to reduce manual effort and improve marketplace efficiency</span></p><br><br> <p><span><strong>Business</strong></span><br><span>• &nbsp; &nbsp;Provide day-to-day administrative and operational support for marketplace activities, ensuring tasks are completed accurately and within agreed timelines</span><br><span>• &nbsp; &nbsp;Support customer service operations by responding to inquiries, coordinating issue resolution, escalating complex cases and following up until closure</span><br><span>• &nbsp; &nbsp;Support customer and seller onboarding by collecting required information, validating documents, coordinating account setup and tracking onboarding progress</span></p><br><br> <p><span><strong>Processes</strong></span><br><span>• &nbsp; &nbsp;Assist with cataloguing activities: product data entry, information validation, image and attribute checks, SKU updates and correction of listing errors</span><br><span>• &nbsp; &nbsp;Support order management activities: manual order checks, status updates, delivery coordination, cancellation handling and issue tracking</span><br><span>• &nbsp; &nbsp;Coordinate refunds and returns: validating return requests, tracking return status, supporting refund processing and ensuring cases are documented properly</span><br><span>• &nbsp; &nbsp;Maintain accurate operational trackers, reports and records covering onboarding, catalogue updates, orders, fulfilment issues, returns, refunds and support cases</span></p><br><br> <p><span><strong>People &amp; Talent</strong></span><br><span>• &nbsp; &nbsp;Act as a coordination point between internal teams, buyers, sellers and logistics partners</span></p><br><br> <br><p><span><strong>Risk Management</strong></span><br><span>• &nbsp; &nbsp;Monitor order flow and fulfilment status, coordinate with internal teams and logistics partners, and follow up on delayed, failed or exception orders</span><br><span>• &nbsp; &nbsp;Escalate complex cases appropriately and support timely resolution</span></p><br><br> <p><span><strong>Governance</strong></span><br><span>• &nbsp; &nbsp;Ensure cases and processes are documented properly and records maintained accurately (you can pull the documentation thread out of the refunds and trackers bullets)</span><br><span>• &nbsp; &nbsp;Adherence to defined process flows and service quality standards</span></p><br><br> <p><span><strong>Regulatory &amp; Business Conduct</strong></span><br><span>• &nbsp; &nbsp;Display exemplary conduct and live by the Group’s Values and Code of Conduct.&nbsp;</span><br><span>• &nbsp; &nbsp;Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.</span><br><span>• &nbsp; &nbsp;Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.</span></p><br><br> <br><p><span><strong>Key stakeholders</strong></span><br><span>Internal</span><br><span>Group and SCV</span><br><span>• &nbsp; &nbsp;SC Group Traded Risk Management (TRM)</span><br><span>• &nbsp; &nbsp;SC Group Credit Risk</span><br><span>• &nbsp; &nbsp;SC Group Treasury Risk</span><br><span>• &nbsp; &nbsp;SC Group Digital Asset Risk</span><br><span>• &nbsp; &nbsp;SCV Chief Risk Officer (CRO)</span><br><span>• &nbsp; &nbsp;SCV Chief Operating Officer (COO) / Accelerators</span><br><span>• &nbsp; &nbsp;SCV Risk Framework Owners (RFO), and</span><br><span>• &nbsp; &nbsp;SCV Functional Subject Matter Experts (SME)</span></p><br><br> <p><span>External</span><br><span>• &nbsp; &nbsp;Relevant external regulator</span></p><br><br> <p><span><strong>Other Responsibilities</strong></span><br><span>• &nbsp; &nbsp;Embed Here for good and Group’s brand and values in the business and SC Ventures.</span><br><span>• &nbsp; &nbsp;Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures.</span></p><br><br><b>Skills and Experience</b> <br><p><span>• &nbsp; &nbsp;Business Acumen</span><br><span>• &nbsp; &nbsp;Business Markets</span></p><br><br><b>Qualifications</b> <br><p><span><strong>Education &nbsp; &nbsp; </strong>Minimum of Degree or other advanced education.</span><br><span><strong>Languages &nbsp; &nbsp; </strong>English (Arabic or Hindi desirable)</span></p><br><br><b>About Standard Chartered</b> <br><p>We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.</p><br><br> <p>Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.</p><br><br> <p>Together we:</p><br><br> <ul> <li><b>Do the right thing</b>&nbsp;and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li> <li><b>Never settle,</b>&nbsp;continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li> <li><b>Are better together,</b>&nbsp;we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li> </ul><br><b>What we offer</b> <br><p><b>In line with our Fair Pay Charter,</b>&nbsp;we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</p><br><br> <ul> <li><b>Core bank funding for retirement savings, medical and life insurance,</b>&nbsp;with flexible and voluntary benefits available in some locations.</li> <li><b>Time-off</b>&nbsp;including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.</li> <li><b>Flexible working</b>&nbsp;options based around home and office locations, with flexible working patterns.</li> <li><b>Proactive wellbeing support</b>&nbsp;through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills,&nbsp;global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits</li> <li><b>A continuous learning culture</b>&nbsp;to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li> <li><b>Being part of an inclusive and values driven organisation,</b>&nbsp;one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li> </ul><br> </div>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Lead - GPU Infrastructure based in United Arab Emirates.<br><br>This is a hands-on technical leadership role responsible for architecting and delivering a large-scale GPU infrastructure platform.<br><br>You will lead the evolution from managed Kubernetes workloads toward bare-metal GPU infrastructure, including Slurm-based research computing and Kubernetes-powered inference.<br><br>The role combines deep systems expertise with engineering leadership, team management, and direct ownership of architecture and delivery.<br><br>You will oversee a distributed team spanning backend, frontend, Dev Ops, QA, and documentation while maintaining high technical standards.<br><br>Your work will support research, model training, and managed inference workloads requiring reliable, scalable, and observable GPU compute.<br><br>You will also serve as the primary technical interface with infrastructure partners, hardware providers, and internal platform consumers.<br><br>This is an opportunity to shape the architecture and operational foundations of a sophisticated GPU platform in a fully remote environment.<br><br>Accountabilities<br><br>The Technical Lead will own the platform architecture and engineering delivery while remaining deeply involved in technical decisions, infrastructure operations, team leadership, and partner relationships.<br><br>Own the end-to-end platform architecture, including architecture proposals, high-level and low-level designs, technical reviews, and ongoing architecture documentation. Lead and line-manage a distributed engineering team across backend, frontend, Dev Ops, QA, and documentation. Establish engineering standards, oversee code and design reviews, manage release gates, conduct one-to-ones, and provide growth and performance feedback. Design, build, and operate a managed Slurm service supporting research and model-training workloads. Own Slurm controllers, accounting, partitions, login nodes, node onboarding, acceptance testing, driver and CUDA baselines, upgrades, stalled-job detection, node health, draining, autohealing, storage visibility, identity, and workload isolation. Lead GPU infrastructure operations on bare-metal environments, including NVIDIA drivers, CUDA, Fabric Manager, NVSwitch, DCGM, MIG, node burn-in, and acceptance processes. Own Kubernetes cluster bootstrap and lifecycle on partner-provided bare metal, including NVIDIA GPU Operator and Network Operator. Oversee GPU isolation using technologies such as Kube Virt and VFIO and manage day-two infrastructure operations, upgrades, backup, recovery, and node replacement. Define managed inference architecture covering serving, multi-GPU and multi-node parallelism, autoscaling, request routing, endpoint reliability, and confidential-compute capabilities. Establish observability across the control plane, GPU fleet, and application layers through metrics, logging, alerting, and SLOs. Lead incident response, post-incident reviews, and the development of an on-call model that is sustainable for a lean engineering organization. Act as the primary technical interface with infrastructure partners and vendors, translating requirements into written specifications and acceptance tests. Manage technical escalations with partners through resolution and contribute to capacity planning and hardware sourcing decisions. Work directly with research, model-training, and product teams to translate workloads into platform requirements and manage capacity constraints. Hire and develop members of the platform team while maintaining a high technical bar. Contribute to architecture decisions involving distributed systems, high-performance computing, networking, storage, virtualization, and GPU workloads.<br><br>Requirements<br><br>The ideal candidate combines deep hands-on GPU and infrastructure expertise with proven technical leadership experience. They should be comfortable operating complex production systems, making architecture decisions, leading distributed teams, and remaining close to the code and infrastructure.<br><br>8+ years of hands-on engineering experience, including at least 3 years leading teams responsible for infrastructure platforms used by other teams. Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience. Extensive hands-on experience operating Slurm in production, including slurmctld, slurmdbd, partitions, QoS, priority, accounting, prolog and epilog, node health, and upgrades. Experience operating HPC or GPU training clusters for research or model-development users. Strong experience operating NVIDIA GPU fleets on bare metal, including driver and CUDA lifecycles, Fabric Manager, NVSwitch, DCGM, MIG, node burn-in, and acceptance. Deep knowledge of Infini Band, subnet configuration, RDMA, SR-IOV, and diagnosing multi-node NCCL performance issues. Strong Linux systems expertise, including kernel modules, drivers, PCIe passthrough, vfio-pci, cgroups, namespaces, and performance tuning. Proven production Kubernetes experience covering control planes, upgrades, CNI, CSI, operators, custom controllers, and multi-tenancy. Experience with HPC storage and large-scale data movement, including shared filesystems such as VAST, Lustre, or NFS and node-local NVMe caching. Experience distributing large model weights and datasets across multiple nodes. Strong observability and operations experience with Prometheus, Grafana, Loki, or comparable platforms, including SLOs, incident response, and post-incident reviews. Working proficiency in Java Script and Node.js sufficient to review control-plane, CLI, and worker services and make architecture decisions. Experience delivering a multi-tenant Iaa S, Paa S, research computing service, or comparable platform with resource isolation, quotas, usage metering, APIs, and CLI interfaces. Demonstrated people leadership across time zones and the ability to lead cross-functional technical reviews. Strong written architecture and decision-making skills, including documenting alternatives and trade-offs. Confidence communicating technical decisions and respectfully challenging partners or executives when necessary. Excellent written and spoken English. Fully remote availability with a working location between UTC and UTC+5:30 to provide overlap with teams and partners across Europe and India. Willingness to travel occasionally to partner sites and team events.<br><br>Desirable Experience Includes<br><br>Slurm operators on Kubernetes, such as Soperator or Slinky, or Kubernetes-native schedulers such as Kueue, Volcano, KAI, or Kubeflow Trainer. Modern model-serving technologies such as v LLM, SGLang, or Tensor RT-LLM. GPU parallelism strategies, quantization trade-offs, and GPU memory planning. Multi-tenant GPU isolation using Kube Virt, Kata Containers, QEMU/KVM, Firecracker, or similar technologies. Confidential computing technologies such as Intel TDX, AMD SEV-SNP, or NVIDIA confidential-compute capabilities. Cluster API, kubeadm, Cilium, GPU autohealing, infrastructure as code, and Git Ops. Experience working on the operator side of a GPU cloud, university or national HPC center, or AI research platform. Peer-to-peer or distributed-systems experience. Experience working with hardware providers responsible for provisioning but not operating infrastructure, including establishing contracts and acceptance tests.<br><br>Benefits<br><br>100% remote position. Opportunity to lead the architecture and delivery of a sophisticated GPU infrastructure platform. High-impact technical leadership role spanning bare-metal GPU infrastructure, Slurm, Kubernetes, inference, and observability. Leadership responsibility for a distributed engineering organization across multiple technical disciplines. Significant ownership over architecture, engineering standards, delivery planning, and team development. Direct involvement with infrastructure partners and hardware providers. Opportunity to support advanced AI research, model training, and managed inference workloads. International and distributed working environment with colleagues and partners across Europe and India. Occasional opportunities for travel to partner locations and team events. Opportunity to work at the intersection of high-performance computing, AI infrastructure, distributed systems, and cloud-native technologies.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a highly experienced Senior Oracle Fusion Business Analyst with strong expertise in Oracle Fusion Cloud applications and government business processes to support the analysis, design, implementation, optimization, and continuous improvement of enterprise solutions.<br> The role requires a deep understanding of business process analysis, requirements gathering, functional design, process mapping, stakeholder engagement, testing support, and change management , with a strong focus on public sector and government operating models.<br> The consultant will work closely with business users, functional consultants, technical teams, solution architects, project managers, and implementation partners to translate government business requirements into effective Oracle Fusion solutions that are compliant, efficient, scalable, and aligned with organizational policies, regulatory requirements, and digital transformation objectives.<br> Key Responsibilities Business Analysis &amp; Process Leadership Lead end-to-end business analysis activities for Oracle Fusion Cloud implementations, enhancements, and support initiatives.<br> Analyze current-state and future-state business processes across government functions and translate them into clear functional and business requirements.<br> Facilitate workshops, interviews, and working sessions with stakeholders to gather, validate, and prioritize requirements.<br> Document business needs, process flows, use cases, user stories, functional specifications, and acceptance criteria.<br> Identify process gaps, inefficiencies, control weaknesses, and opportunities for automation and standardization.<br> Support business process reengineering initiatives to align government operations with Oracle Fusion best practices.<br> Work closely with functional teams to ensure business requirements are accurately reflected in solution design.<br> Oracle Fusion Application Support Support business analysis across Oracle Fusion modules such as: Financials Procurement Projects HCM SCM Grants Assets Expenses Budgeting and Planning Understand Oracle Fusion application capabilities and map them to government business requirements.<br> Assist in defining configuration requirements, business rules, approval flows, and operational controls.<br> Validate that Oracle Fusion functionality supports statutory, operational, and reporting requirements.<br> Collaborate with functional consultants to ensure business processes are configured correctly and efficiently.<br> Support issue analysis, root cause identification, and resolution of business and functional defects.<br> Government Business Process Expertise Analyze and document government-specific business processes, policies, and compliance requirements.<br> Support processes related to: Budget preparation and control Public expenditure management Procurement and tendering Vendor and supplier management Grants and fund management Asset tracking and lifecycle management Payroll and workforce administration Project and program monitoring Financial reporting and statutory compliance Understand public sector governance structures, approval hierarchies, audit requirements, and segregation of duties.<br> Ensure business processes align with government regulations, internal controls, and policy frameworks.<br> Support transformation of manual or legacy government processes into standardized Oracle Fusion workflows.<br> Assist in defining controls for transparency, accountability, traceability, and compliance.<br> Requirements Gathering &amp; Documentation Prepare detailed business requirement documents, process maps, gap analyses, fit-gap assessments, and solution summaries.<br> Translate business needs into functional requirements that can be used by functional and technical teams.<br> Maintain traceability between business requirements, solution design, testing, and deployment deliverables.<br> Document business rules, exception handling, approval matrices, and reporting needs.<br> Support preparation of training materials, user guides, and operational procedures.<br> Ensure documentation is clear, complete, accurate, and aligned with project governance standards.<br> Testing &amp; Validation Support unit testing, system integration testing (SIT), user acceptance testing (UAT), and regression testing activities.<br> Develop test scenarios, test scripts, and expected results based on business requirements.<br> Validate Oracle Fusion configurations, workflows, reports, and transactions against business expectations.<br> Coordinate with business users during UAT and support defect logging, triage, and resolution.<br> Verify that data migration, process flows, and reporting outputs meet business and compliance requirements.<br> Support cutover, go-live readiness, and post-implementation validation activities.<br> Stakeholder Engagement &amp; Change Management Act as a liaison between business stakeholders, functional teams, technical teams, and project leadership.<br> Facilitate communication and alignment across departments, agencies, and implementation teams.<br> Support change impact assessments and identify business readiness requirements.<br> Assist in user adoption planning, training coordination, and stakeholder communication.<br> Participate in governance meetings, design reviews, and project status updates.<br> Build strong working relationships with government users and leadership teams to ensure successful solution adoption.<br> Reporting, Controls &amp; Compliance Support business reporting requirements including operational, management, statutory, and compliance reports.<br> Work with functional and technical teams to define reporting needs and validate outputs.<br> Ensure business processes and system configurations support auditability, transparency, and regulatory compliance.<br> Assist in defining controls for approvals, access, data integrity, and transaction monitoring.<br> Support preparation of evidence and documentation for audits, reviews, and governance checks.<br> Identify opportunities to improve reporting accuracy, timeliness, and usability.<br> Continuous Improvement &amp; Support Monitor business process performance and identify opportunities for optimization and automation.<br> Support post-go-live stabilization, issue resolution, and continuous improvement initiatives.<br> Analyze recurring business issues and recommend corrective and preventive actions.<br> Maintain business process documentation, knowledge repositories, and support materials.<br> Contribute to lessons learned, process standardization, and best practice adoption across programs.<br> Support future enhancements, release impact assessments, and business readiness activities.<br> Required Qualifications Bachelor’s degree in Business Administration, Information Systems, Finance, Public Administration, Computer Science, or a related discipline.<br> Professional certification in business analysis, Oracle Fusion, or related functional area is preferred.<br> 8–12+ years of experience in business analysis, functional analysis, or enterprise application support.<br> 5+ years of experience working with Oracle Fusion Cloud applications or similar ERP platforms.<br> Proven experience supporting government, public sector, or regulated enterprise environments .<br> Strong understanding of business process analysis, requirements management, and stakeholder engagement.<br> Experience in at least 2–3 full lifecycle Oracle Fusion implementations or major transformation programs .<br> Mandatory Technical and Functional Expertise Oracle Fusion Cloud application knowledge Business process analysis and mapping Requirements gathering and documentation Fit-gap analysis and solution assessment Oracle Fusion Financials, Procurement, HCM, SCM, or Projects exposure Government business process understanding Public sector governance and compliance awareness UAT planning and execution support Test scenario and script preparation Data validation and reconciliation Workflow and approval process understanding Reporting and dashboard requirement analysis Change impact assessment Stakeholder management and workshop facilitation Strong documentation and presentation skills Ability to work with cross-functional teams Understanding of controls, auditability, and segregation of duties Preferred Skills Experience in government ministries, agencies, municipalities, authorities, or public sector enterprises .<br> Knowledge of budgeting, procurement, grants, payroll, assets, finance, and project accounting in government environments.<br> Familiarity with Oracle Fusion Cloud modules and their business process implications.<br> Exposure to Oracle ERP Cloud, Oracle HCM Cloud, Oracle SCM Cloud, or Oracle EPM Cloud.<br> Understanding of statutory reporting, audit requirements, and public financial management processes.<br> Experience with process improvement methodologies such as Lean, Six Sigma, or BPM.<br> Knowledge of change management, training coordination, and user adoption strategies.<br> Familiarity with data migration concepts and validation processes.<br> Experience working in Agile, Hybrid, or Waterfall delivery environments.<br> Ability to support business case development, benefits realization, and transformation planning.<br> Exposure to Oracle reporting tools such as OTBI or BI Publisher is an advantage.<br> Understanding of integration concepts and how business processes interact with external systems.<br> Experience with enterprise governance, policy compliance, and control frameworks.<br> Behavioral Competencies Strong analytical and problem-solving skills Excellent communication and stakeholder engagement abilities Ability to translate complex business needs into clear requirements High attention to detail and commitment to quality Strong facilitation, negotiation, and conflict-resolution skills Ability to manage multiple priorities and deadlines Collaborative mindset with a customer-focused approach Strong ownership, accountability, and follow-through Ability to work effectively in politically sensitive or regulated environments Adaptability and resilience in fast-paced transformation programs Key Performance Indicators (KPIs) Accuracy and completeness of business requirements documentation Timely completion of process analysis and solution definition activities Successful alignment of Oracle Fusion solutions with government business needs Quality of UAT support and defect resolution outcomes Reduction in process inefficiencies and manual workarounds Stakeholder satisfaction with analysis, communication, and support Compliance with governance, audit, and control requirements Contribution to successful go-live and post-implementation stabilization Effectiveness of change management and user adoption support Reusability and clarity of business process documentation</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><b>Be the one building AI-powered experiences where they matter most.</b></span></p><br><br><p><span>At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.</span></p><br><br><p><span>Help build, support and operate technology used by more than 8,000 organizations in over 100 countries&nbsp;– moving AI from possibility to production in real-world enterprise environments every day.</span></p><br><br><p>The&nbsp;<b>Genesys Principal AI Solution Architect</b>&nbsp;is&nbsp;a&nbsp;senior&nbsp;presales&nbsp;AI&nbsp;specialist who&nbsp;operates&nbsp;across&nbsp;three&nbsp;core&nbsp;motions: &nbsp;</p><br><ul><li>Driving&nbsp;strategic AI opportunities&nbsp;with&nbsp;customers and&nbsp;sales&nbsp;teams&nbsp;&nbsp;</li><li>Scaling the field through reusable assets, technical enablement, and coaching&nbsp;</li><li>Shaping product and go-to-market direction through real-world customer and field feedback&nbsp;&nbsp;</li></ul><p>This role requires a blend of deep AI technical acumen, exceptional&nbsp;sales, communication, and executive storytelling&nbsp;skills, and the ability to translate complex capabilities into clear, actionable business value.&nbsp;</p><br><p><b>Key Responsibilities:</b>&nbsp;</p><br><ul><li><b>Design end-to-end AI systems for customer experience use cases.&nbsp;</b>Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows,&nbsp;tools,&nbsp;and orchestration layers. Define how AI interacts across the full journey (self-service, agent&nbsp;copilot,&nbsp;journey management, and&nbsp;back-office&nbsp;automation), including fallback strategies, human handoff, and failure handling. &nbsp;</li><li><b>Optimize&nbsp;retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where&nbsp;required</b>.&nbsp;Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.&nbsp;</li><li><b>Establish AI evaluation frameworks and quality measurement strategies</b>.&nbsp;Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.&nbsp;</li><li><b>Engineer contextual AI experiences that&nbsp;leverage&nbsp;real-time data and conversation state</b>.&nbsp;Design how AI systems incorporate dynamic&nbsp;context&nbsp;such as customer data, interaction history, and external signals.&nbsp;Optimize&nbsp;context&nbsp;management&nbsp;and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions&nbsp;remain&nbsp;coherent, personalized, and aligned across channels and touchpoints.&nbsp;</li><li><b>Design for scalability, latency, and cost efficiency in enterprise environments</b>.&nbsp;Evaluate and&nbsp;optimize&nbsp;AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver&nbsp;performant&nbsp;and economically&nbsp;viable&nbsp;solutions. Ensure designs meet enterprise expectations for reliability and responsiveness.&nbsp;</li><li><b>Leverage expert-level knowledge of Genesys AI capabilities&nbsp;</b>to articulate and&nbsp;demonstrate&nbsp;product value to customers and prospects.&nbsp;</li><li><b>Support pre-sales activities</b>&nbsp;such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.&nbsp;</li><li><b>Design and deploy&nbsp;AI&nbsp;prototypes&nbsp;in sandbox&nbsp;</b>and/or customer development environments to&nbsp;validate&nbsp;use cases, integrations, latency, and success criteria<b>,&nbsp;</b>and to highlight the differentiated value of Genesys AI.&nbsp;</li><li><b>Partner with account teams and&nbsp;Professional Services&nbsp;to transition successful prototypes into production pilots&nbsp;</b>supporting technical&nbsp;handoff,&nbsp;hardening, KPI alignment, and business outcome validation.&nbsp;</li><li><b>Build integrations to&nbsp;third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A</b>&nbsp;showcasing&nbsp;the art of the possible&nbsp;with&nbsp;Genesys Cloud AI solutions.&nbsp;</li><li><b>Develop reusable technical assets&nbsp;</b>and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.&nbsp;</li><li><b>Provide technical feedback and strategic insights to&nbsp;Product Management and Engineering&nbsp;</b>on AI product design, implementation considerations, and customer-driven enhancements.&nbsp;</li><li><b>Influence CIO/CTO-level stakeholders and position Genesys</b>&nbsp;as integral to an organization’s broader IT and transformation strategy.&nbsp;</li></ul><p><b>Requirements:</b>&nbsp;</p><br><ul><li><b>AI Architecture &amp; Technical Judgment:</b>&nbsp;Hands-on experience&nbsp;designing&nbsp;modern AI solutions&nbsp;for customer experience&nbsp;orchestration&nbsp;and contact center use cases&nbsp;using the right&nbsp;mix of&nbsp;classic ML, NLU/NLP,&nbsp;retrieval-based systems,&nbsp;LLMs, orchestration patterns,&nbsp;tool&nbsp;use&nbsp;and agentic&nbsp;approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk.&nbsp;</li><li><b>Enterprise Integration &amp; Real-Time Design:</b>&nbsp;Expertise&nbsp;integrating AI solutions with enterprise platforms, knowledge sources,&nbsp;RESTful&nbsp;APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to&nbsp;design&nbsp;for&nbsp;real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access.&nbsp;</li><li><b>Evaluation, Governance &amp; Observability:</b>&nbsp;Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.&nbsp;</li><li><b>Executive Communication &amp; Field Enablement:</b>&nbsp;Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization.&nbsp;</li><li><b>Prompt Design &amp; AI Workflow Optimization</b>: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline.&nbsp;</li><li><b>Technical Demonstration Prowess:&nbsp;</b>Proven&nbsp;ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.&nbsp;</li><li><b>Sales&nbsp;Acumen</b>:&nbsp;Demonstrated&nbsp;success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.&nbsp;</li><li><b>Business&nbsp;Value&nbsp;Orientation:</b>&nbsp;Ability to&nbsp;identify&nbsp;opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.&nbsp;</li><li><b>Executive&nbsp;Presence:&nbsp;</b>Proven&nbsp;ability to influence CIO/CTO decision-makers.&nbsp;</li><li>Strong understanding of the Genesys Cloud platform and Genesys AI preferred.&nbsp;</li><li>Foundational understanding of programming concepts (Python preferred).&nbsp;</li><li>Fluency in English and Arabic languages.</li><li>French language fluency as a plus.</li></ul><p>#LI-MC1</p><br><br><p><span><b>Working at Genesys</b></span></p><br><ul><li><span><b>AI at enterprise scale</b>&nbsp;– Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+&nbsp;new AI features were released in the last fiscal year.</span></li><li><span><b>A flexible-first culture</b> – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.</span></li><li><span><b>Growth in the AI era</b> – Build future-ready skills through mentorship, learning programs, leadership development and education support.</span></li><li><span><b>Time to recharge and give back</b> – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.</span></li><li><span><b>Recognized globally </b>– Genesys is </span><span><u>Great Place to Work®</u></span><span>certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.</span></li></ul><p><span>Learn more about our culture, AI innovation and sustainability commitments through our </span><span><u>Careers site</u></span><span> and </span><span><u>Sustainability Report.</u></span></p><br><br><p><span><b>What Happens After You Apply</b></span></p><br><p><span>After you apply, here's what you can typically expect:</span></p><br><ul><li><span>Our Talent Acquisition team reviews your application with the hiring team.</span></li></ul><ul><li><span>A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
</span></li></ul><ul><li><span>Next, you'll meet the hiring manager and other members of the interview team.</span></li></ul><ul><li><span>We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.</span></li></ul><ul><li><span>After interviews are complete, our team will follow up with the final steps.</span></li></ul><p><span>Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.</span></p><br><br><p><span><b>Stay Connected</b></span></p><br><p><span>Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.</span></p><br><p><span><u>Get notified about relevant opportunities</u></span><span>.</span></p><br><br><span><b>Be the one building what's next - where AI, experience and impact come together.</b></span><br><p><span><b>Employee Referral</b></span></p><br><p><span>If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.</span></p><br><br><p><span><b>About Genesys:</b></span></p><br><p><span>Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit&nbsp;</span><span>www.genesys.com</span>.</p><br><br><p><span><b>Reasonable Accommodations:</b></span></p><br><p><span>If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at</span> reasonable.accommodations@genesys.com.</p><br><br><p><span>You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.</span></p><br><p><span>This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.</span></p><br><br><p><span><b>Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression,&nbsp;marital status, domestic partner status,&nbsp;national origin, genetics, disability,&nbsp;military and&nbsp;veteran status, and other protected characteristics.</b></span></p><br><br><p><i>Please note that recruiters will never ask for sensitive personal or financial information during the application phase.</i></p><br> </div>

Location<br><br>London, England<br><br>Employment Type<br><br>Full time<br><br>Location Type<br><br>Hybrid<br><br>Department<br><br>ANALYTICS & DATA SCIENCE<br><br>Compensation<br><br>£95K – £115K Offers Equity<br><br>Outlined above is a reasonable estimate of H&H’s compensation range for this role for UK-based candidates. If you're based outside of the UK, your recruiter will be able to provide you with an estimated salary range for your location.<br><br>The actual amount will take into account a range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.<br><br>Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors.<br><br>Overview Application<br><br>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.<br><br>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<br><br>About The Role:<br><br>As a Staff Data Scientist at Hims & Hers, you are a technical leader and a "force multiplier" for our data organization. You do not just solve the most difficult problems; you identify which problems are worth solving to move the needle for our customers. You will serve as a technical anchor, simplifying ambiguous problems into executable paths for the team.<br><br>In this role, you will bridge the gap between business strategy and production-ready machine learning. Whether you are building frameworks for growth, optimizing our supply chain, or refining marketing attribution, you will ensure our data products are technically sound, scalable, and built to deliver measurable business results.<br><br>You Will:<br><br>Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.<br><br>Experience & Skills:<br><br>8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, Num Py, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/Light GBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise<br><br> Preferred Qualifications:<br><br>0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following):Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.<br>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.<br><br>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.<br><br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.<br><br>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.<br><br>Compensation Range: £95K - £115K<br><br>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.<br><br>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<br><br>You Will:<br><br>Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.<br><br>Experience & Skills:<br><br>8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, Num Py, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/Light GBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise<br><br> Preferred Qualifications:<br><br>0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following):Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.<br>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.<br><br>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.<br><br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.<br><br>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.<br><br>Compensation Range: £95K - £115K<br><br>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.<br><br>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<br><br>You Will:<br><br>Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.<br><br>Experience & Skills:<br><br>8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, Num Py, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/Light GBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise<br><br> Preferred Qualifications:<br><br>0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following):Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.<br>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.<br><br>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.<br><br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.<br><br>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.<br><br>Compensation Range: £95K - £115K