Sr. IT Manager, Global Data and Analytics
Abbott Laboratories
- Location
- United States - California - Alameda
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 28 approvals (FY2023)
- Posted
- Sep 2, 2026
Skills
About this role
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION
Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
The Opportunity
The Senior IT Manager – Global Data and Analytics is a global leadership role responsible for accelerating business value through Data, Analytics, Artificial Intelligence (AI), and Generative AI (GenAI) across Abbott Diabetes Care. This role serves as a trusted strategic advisor to business leaders and a key member of the Global Data & Analytics organization, helping identify, shape, prioritize, and drive data, analytics, and AI initiatives that deliver measurable business outcomes. Working across Commercial, Marketing, R&D, Quality, Operations, Supply Chain, Finance, and other business functions, this leader serves as a critical connector between business stakeholders, Functional BRMs, the Global Data & Analytics organization, and Corporate IT teams, bridging business strategy with execution to ensure investments are aligned to strategic priorities and focused on value realization. A key aspect of this role is establishing and scaling ADC's Data Product delivery model, embedding Product and Design Thinking practices across the organization, and enabling business-led data governance. This leader will champion a product-centric approach to data, analytics, and AI while driving adoption of modern data engineering principles and capabilities to support trusted, scalable, and AI-ready data solutions. This leader will provide technical leadership and conceptual solution direction across Data, Analytics, AI, and Data Product initiatives, partnering with Architecture, Engineering, and Corporate IT teams to shape scalable solutions that align business priorities with enterprise technology capabilities. The ideal candidate combines strategic thinking, business acumen, deep technical data and analytics expertise, AI/GenAI knowledge, product management mindset, and strong stakeholder leadership to maximize the value of ADC's global data and analytics investments. What You’ll Do: Strategic Business Partnership & Cross-Functional Alignment Serve as a trusted Data & Analytics leader supporting business functions in identifying opportunities to leverage data, analytics, AI and GenAI to drive business outcomes. Build strong partnerships and trusted relationships across Commercial, Marketing, R&D, Quality, Operations, Supply Chain, Finance, and other business functions to understand priorities, challenges, and strategic objectives. Translate business priorities into actionable Data, Analytics, AI, and Data Product initiatives. Lead cross-functional discussions to drive prioritization, decision-making, and execution alignment across multiple stakeholder groups. Data Product Leadership & Design Thinking Establish, scale