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