Senior Manager - Data Science and AI Product Owner

Senior Manager, Data Science & AI (Technical Product Owner) The International Data Science & AI organization is committed to transforming data into actionable intelligence and scalable AI capabilities that enable markets to drive better decisions, improved customer engagement, and measurable business outcomes. We are seeking a Sr Manager Data Science and AI, to own the critical endtoend AI for Targeting & Segmentation program for international markets, including program strategy, model design, solution, product roadmap, delivery coordination across stakeholders, and value realization. This is a senior team lead role with significant influence, requiring strong crossfunctional leadership across Data Science, Analytics, BT, ICO, Digital, and country teams to design, deploy, and scale segmentation solutions. The successful candidate will thrive in a fastpaced, highly collaborative environment, translate business needs into clear product/program requirements, and drive industrialization of segmentation capabilities from pilots through scalable deploymentswhile operating within governance, privacy, and responsible AI practices. ROLE RESPONSIBILITIES AI for Segmentation Program Ownership (International) Own the vision, strategy, and roadmap for the AI for Targeting & Segmentation program across international markets, ensuring alignment to commercial priorities and market needs. Define the program operating model , key deliverables, success measures, and cadence for planning, prioritization, and decisionmaking across regions and markets. Serve as the primary point of accountability for program outcomes, coordinating across functions and markets to deliver highquality solutions on time and with measurable impact. Roadmap Translation, Requirements, and Delivery Coordination Translate business needs into clear problem statements , requirements, and user stories for Data Science, Analytics Engineering, and Technology teams, including data needs, model requirements, workflows, and integration expectations. Partner closely with Data Science and engineering teams to shape solution design, ensure feasibility, and drive progress from pilot deployment scaling while maintaining quality, usability, and robustness. Establish and maintain program plans (milestones, dependencies, risks, and mitigations), and provide transparent updates to stakeholders across geographies and time zones. Cross Functional & Market Partnership (Influence Without Authority) Build strong relationships with international and local stakeholders (Commercial, Marketing, Digital, Field/Operations, Tech/IT) to align on priorities, secure input, and drive adoption. Facilitate workshops and working sessions to align on segmentation objectives, market readiness, change impacts, and enablement needs, ensuring consistent engagement and shared ownership. Coordinate with centralized and regional teams to identify reusable patterns and accelerate crossmarket scaling while respecting local context, constraints, and regulatory requirements. Adoption, Change Management, and Enablement Define and execute an international adoption and change management approach , including market onboarding, training, communications, and how to use guidance for segmentation outputs and workflows. Create and maintain program documentation and businessfacing assets (e.g., value proposition, playbooks, FAQs, release notes, training materials, and adoption metrics). Incorporate feedback loops (user feedback, performance monitoring, market learnings) to continuously improve segmentation models, outputs, and endtoend user experience. Governance, Data Privacy, and Responsible AI Ensure program alignment with data governance, privacy, security, and responsible AI practices, coordinating required reviews and documentation with the appropriate governance bodies. Partner with Technology/IT and data teams to ensure appropriate controls for data access, model monitoring, auditability, and lifecycle management. Value Realization, KPIs, and Performance Management Define, monitor, and communicate program success metrics (e.g., adoption, business value, segmentation performance, operational efficiency), and drive actions to close performance gaps. Quantify and communicate value delivered through AI for Segmentation to senior stakeholders, connecting program outcomes to measurable market impact. Ways of Working / Agile Delivery Act as voice of the user for international markets in agile delivery teams, helping prioritize work to maximize value and ensure usability and scalability of deliverables. Promote consistent ways of working across markets (templates, standards, release cadence, and minimal viable onboarding kits) to accelerate delivery and reduce rework. BASIC QUALIFICATIONS Bachelors degree in analytics related area (Data Science, Computer Engineering, Computer Science, Statistics, Economics, Mathematics, Operations Research, Information Systems, Engineering, or a related