Job Description

Roles & Responsibilities

• Requirement Translation: Facilitate discovery sessions with Business and Product teams to extract core objectives and decompose them into precise technical specifications, user stories, and architectural requirements for engineering teams.

• Program Governance: Devise and manage multi-quarter roadmaps, establishing clear RACI matrices and communication cadences to keep stakeholders aligned across the organization.

• Operational Excellence: Leverage your background in SOC/NOC environments to ensure all AI deployments are "production-ready," focusing on observability, incident response protocols, and security compliance.

• Banking Integration: Navigate the complexities of financial services, including regulatory compliance, data privacy (PII), and complex stakeholder landscapes.

• AI Lifecycle Management: Oversee the delivery of AI-powered features, ensuring that model deployment, monitoring, and feedback loops are integrated into the broader application lifecycle.

• Stakeholder Orchestration: Act as the primary point of contact for executive leadership, managing expectations and providing transparent reporting on delivery risks and milestones.

Desired Candidate Profile

• Banking Experience: Minimum 5+ years in the financial services sector, with a deep understanding of the security and compliance rigors associated with banking tech.

• Delivery Leadership: Proven track record of leading complex delivery programs for cloud-based Web or Mobile applications.

• Operations Background: Direct experience with SOC (Security Operations Center) or NOC (Network Operations Center) workflows is preferred, ensuring uptime and security are built-in, not bolted-on.

• Cloud Fluency: Solid understanding of cloud-native architecture (Azure or AWS), specifically how modern applications consume AI services.

• Communication: Exceptional ability to explain complex technical trade-offs (e.g., latency vs. accuracy in AI) to non-technical business partners.

• Change Management: Experience leading teams through the cultural shift of adopting AI-driven workflows.