Padmi

Senior Manager Data Science and AI Technical Product Owner Mumbai

MumbaiPosted 1 month ago
Product And Program ManagementSeniorFull Time; Regular
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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 workplace 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 CrossFunctional 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 The I The International Data Science AI or

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