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<strong>About WPP Media<br><br></strong>WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. <br><br>WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.<br><br>For more information, visit wppmedia.com.<br><br>We are looking for a commercially minded, inspirational leader to serve as <strong>AVP, SEO MENA </strong>and head up our regional SEO practice.<br><br>This is a senior leadership role with accountability for the full performance of the department: running the business, evolving our SEO product and point of view, developing exceptional talent, driving new business, and integrating SEO with our broader network of practices.<br><br>You will be responsible for building a high-performing, future-ready SEO organization that delivers measurable growth for clients and sustainable commercial results for WPP Media. As the senior regional voice for SEO, you will work closely with executive leadership, major clients, and leaders across content, paid media, data and analytics, technology, UX, creative, CRM, social, and PR.<br><br><strong>Key Responsibilities<br><br></strong>Run the SEO Business<br><br><ul><li>Set the regional vision, strategy, and annual operating plan for SEO. </li><li>Own the practice’s revenue, profitability, forecasting, utilization, resourcing, and growth targets. </li><li>Establish the operating model, governance, processes, and quality standards required to deliver excellent work at scale. </li><li>Maintain a clear view of business performance, risks, opportunities, and investment priorities. </li><li>Ensure the right balance between client delivery, team capacity, innovation, and commercial performance. </li><li>Build strong relationships with senior client stakeholders and act as an executive escalation point when required. </li><li>Improve client retention, satisfaction, account growth, and long-term value. </li><li>Ensure SEO work is strategically relevant, operationally excellent, and connected to measurable business outcomes. <br><br></li></ul>Evolve the SEO Product<br><br><ul><li>Define and advance WPP’s regional SEO proposition, positioning, and market differentiation. </li><li>Build a clear product roadmap covering areas such as technical SEO, content strategy, digital PR and authority, enterprise SEO, local and commerce SEO, measurement, experimentation, and emerging search experiences. </li><li>Lead the evolution of SEO in response to AI-generated search experiences, changing search behavior, automation, structured data, entities, and new discovery platforms. </li><li>Develop scalable methodologies, tools, frameworks, playbooks, and intellectual property that improve both client outcomes and team efficiency. </li><li>Partner with global product, technology, data, and delivery teams to industrialize and improve our SEO capabilities. </li><li>Create compelling case studies, points of view, thought leadership, and market-facing materials. </li><li>Ensure our SEO offering is easy to understand, commercially viable, differentiated, and connected to clients’ broader growth agendas. <br><br></li></ul>Develop Talent and Culture<br><br><ul><li>Lead, coach, and inspire the regional SEO leadership team and broader department. </li><li>Design and evolve the organization to meet current and future business needs. </li><li>Attract, hire, retain, and develop high-caliber SEO talent at all levels. </li><li>Establish clear career pathways, capability expectations, performance standards, and succession plans. </li><li>Build a culture of accountability, collaboration, inclusion, continuous learning, and high-quality work. </li><li>Identify emerging leaders and create opportunities for them to grow their leadership, client, and commercial skills. </li><li>Partner with People/HR leadership on workforce planning, performance management, compensation, and engagement. </li><li>Ensure the team is continuously developing its technical, strategic, consulting, and commercial capabilities. <br><br></li></ul>Drive New Business and Growth<br><br><ul><li>Take an active leadership role in regional business development, including pipeline development, pitches, proposals, RFPs, and client presentations. </li><li>Build relationships with senior marketers, digital leaders, procurement stakeholders, industry influencers, and strategic partners. </li><li>Identify opportunities to grow SEO within existing accounts and to create new integrated offerings with other practices. </li><li>Develop sector- and market-specific growth strategies and ensure the SEO team is visible in priority pursuits. </li><li>Work with commercial and account leadership to improve win rates, pricing, scope, and profitability. </li><li>Serve as a credible senior voice in the market through conferences, events, media, content, and industry engagement. </li><li>Establish partnerships and alliances that strengthen [Company]’s SEO proposition and access to new opportunities. <br><br></li></ul>Integrate Across Practices<br><br><ul><li>Make SEO a connected part of the wider client growth agenda rather than a standalone discipline. </li><li>Build effective ways of working with content, paid media, data and analytics, technology, UX/CX, creative, CRM, social, PR, and strategy teams. </li><li>Create integrated propositions, account plans, delivery teams, and go-to-market initiatives. </li><li>Encourage shared ownership of client outcomes and cross-practice revenue. </li><li>Ensure SEO is considered early in strategic, brand, digital, content, technology, and customer experience planning. </li><li>Resolve organizational barriers and create a collaborative, matrixed environment across regional and global teams. </li><li>Represent SEO in senior regional leadership forums and contribute to broader business strategy. <br><br></li></ul><strong>What You Bring<br><br></strong><ul><li>Significant experience in SEO, organic growth, digital marketing, or a closely related discipline, typically gained in an agency, consultancy, technology company, or complex in-house environment. </li><li>Demonstrated experience leading a substantial SEO team, department, regional practice, or business unit. </li><li>A strong understanding of modern SEO across technical, content, authority, analytics, and commercial dimensions. </li><li>A clear perspective on the future of search, including generative AI, AI Overviews, answer engines, automation, and evolving user behavior. </li><li>Experience in contributing to an operating plan, revenue target, margin target, or similar commercial responsibilities. </li><li>A track record of winning and growing enterprise or high-value client relationships. </li><li>Experience developing products, propositions, methodologies, or scalable service offerings. </li><li>Strong executive presence and the ability to influence clients, internal leaders, and multidisciplinary teams. </li><li>A proven record of hiring, developing, and motivating high-performing talent. </li><li>Excellent communication, presentation, negotiation, and commercial skills. </li><li>The ability to operate strategically while maintaining sufficient knowledge of delivery realities and technical detail. </li><li>A collaborative, entrepreneurial, and pragmatic leadership style. <br><br></li></ul><strong>How Success Will Be Measured<br><br></strong>Success in this role will include:<br><br><ul><li>Sustainable growth in regional SEO revenue, profitability, and client value. </li><li>A strong, differentiated, and commercially successful SEO product offering. </li><li>Increased cross-practice collaboration and integrated revenue. </li><li>High levels of client satisfaction, retention, and account expansion. </li><li>A capable leadership bench and an engaged, high-performing SEO team. </li><li>Improved talent attraction, development, retention, and succession. </li><li>A healthy new-business pipeline and strong contribution to strategic wins. </li><li>Consistent delivery quality, operational discipline, and scalable ways of working. </li><li>A strong external reputation for WPP’s SEO expertise and point of view. <br><br></li></ul>Please read our Privacy Notice for more information on how we process the information you provide.

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