Program Manager 2 - Data Analytics & AI

Program Manager 2 – Data, Analytics & AI *Location:* San Francisco, CA — Hybrid *Experience:* 9–13 years *Shift:* Day *Travel:* Not required *Subcontracting:* Allowed Job Summary We are seeking a *Program Manager 2* to lead Data, Analytics, AI, and GenAI initiatives across Abbott Diabetes Care. The role will partner with business and IT stakeholders to identify high-value opportunities, prioritize initiatives, and deliver scalable, governed, and AI-ready data solutions. *Required Skills* * Strong *Program/Project Management* experience * Data & Analytics program delivery * AI/GenAI initiatives * Data Products and Data Governance * Stakeholder and cross-functional leadership * Experience with *Databricks/Lakehouse* technologies preferred *Key Responsibilities* * Lead Data, Analytics, AI, and Data Product initiatives from planning through delivery. * Partner with business, IT, Architecture, Engineering, and Data teams to define priorities and solutions. * Manage roadmaps, budgets, risks, dependencies, and delivery commitments. * Drive Data Product adoption, governance, quality, metadata, and stewardship. * Identify and evaluate AI/GenAI use cases and business value. * Ensure solutions are scalable, secure, governed, and aligned with enterprise standards. * Provide leadership with portfolio status, risks, priorities, and recommendations. *Strategic Business Partnership & Stakeholder Alignment* * Act as a trusted Data and Analytics partner to business functions, identifying opportunities to leverage *data, analytics, AI, and GenAI* to deliver measurable business outcomes. * Build strong relationships across *Commercial, Marketing, R&D, Quality, Operations, Supply Chain, and Finance*. * Translate business priorities and challenges into actionable Data, Analytics, AI, and Data Product initiatives. * Facilitate cross-functional discussions, decision-making, and alignment across business and technology teams. *Data Product Leadership* * Establish and scale a *Data Product delivery model* across Abbott Diabetes Care. * Promote product-centric delivery practices and adoption of Data Product principles across business domains. * Partner with stakeholders to define, prioritize, govern, and measure Data Products. * Lead discovery, roadmap development, KPI definition, and value realization. * Promote reusable and governed Data Products and support *Data Mesh/domain-based ownership* principles. *Data Engineering & Platform Excellence* * Champion modern *data engineering practices, standards, and best practices*. * Support development of strong data foundations focused on *data quality, observability, metadata, lineage, security, and governance*. * Partner with Architecture and Engineering teams to ensure enterprise data assets are scalable, reliable, reusable, and optimized for analytics and AI. * Promote effective use of *Databricks and lakehouse technologies* for Data Products, Analytics, AI, and GenAI workloads. *Technical Leadership & Solution Design* * Provide technical leadership across Data, Analytics, AI, and Data Product initiatives from concept through implementation. * Translate business requirements into scalable and sustainable technical capabilities. * Partner with *Enterprise Architecture and Corporate IT* to define solution strategies and technology direction. * Evaluate trade-offs involving business value, technical feasibility, scalability, cost, security, and governance. * Ensure solutions are secure, governed, reusable, and aligned with enterprise technology standards. *AI & Generative AI Leadership* * Identify and assess opportunities to apply *AI and Generative AI* across Abbott Diabetes Care. * Partner with business stakeholders to define use cases, expected value, success metrics, and delivery requirements. * Evaluate AI/GenAI opportunities based on strategic value, feasibility, risk, and alignment with organizational requirements. * Collaborate with *Legal, Privacy, Cybersecurity, Data Science, Engineering, and Delivery teams* to support responsible implementation. * Promote responsible AI practices and track business impact and outcomes. Pay: $60.00 - $65.00 per hour Work Location: Hybrid remote in San Francisco, CA 94114