Sr. IT Manager, Global Data and Analytics

Abbott (abbottcareers2 board); United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Abbott Diabetes Care seeks a Senior IT Manager for Global Data & Analytics to accelerate value through data, analytics, AI and GenAI. You will connect business strategy with data initiatives and scale a Data Product delivery model across ADC.

You will partner with Architecture, Engineering and Corporate IT to shape scalable, AI-ready data solutions and promote governance, quality and measurability across the platform.

Qualifications

• Experience leading data and analytics programs that drive business value.
• Strong knowledge of AI/GenAI concepts and data product design.
• Ability to translate business priorities into data, analytics and product initiatives.
• Proven cross-functional leadership across multiple business functions.

Responsibilities

• Serve as a trusted Data & Analytics leader supporting business functions.
• Build partnerships across Commercial, Marketing, R&D, Quality, Operations, Supply Chain, Finance.
• Translate priorities into Data, Analytics, AI and Data Product initiatives.
• Drive Data Product discovery, visioning, roadmap development and value realization.

Skills

Data strategy

AI/GenAI

Product management

Stakeholder leadership

Job description

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 and mature the Data Product delivery model across Abbott Diabetes Care.

Champion product-centric ways of working and enable adoption of Data Product principles across ADC business domains.

Partner with business stakeholders to identify, define, prioritize, and govern Data Products aligned that deliver measurable business outcomes.

Drive Data Product discovery, visioning, roadmap development, and lifecycle management and value realization through KPIs and business impact.

Promote reusable, scalable, and governed Data Products that support enterprise-wide consumption and decision-making.

Support Data Mesh principles through domain-oriented data ownership and product-based data delivery.

Data Engineering & Platform Excellence

Champion modern Data Engineering principles and best practices across the Data & Analytics ecosystem.

Build strong data foundations aligned with standards for data quality, observability, metadata management, lineage, security, and reusable data assets.

Build trusted, governed