VP, IT - AI & Data Platforms,

About the role

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride.

Responsibilities

• Define, own, and implement Baxter’s enterprise AI and data strategy aligned with business and IT priorities
• Lead enterprise capabilities across data engineering and platforms, data integration, master data management, analytics, business intelligence, and AI delivery
• Translate strategy into a multi-year roadmap with clear business outcomes, investment priorities, and value realization
• Drive AI and data science delivery across ML, advanced analytics, and Generative AI using modern MLOps and agile practices
• Represent IT – AI and Data on AI Governance Council
• Ensure data is trusted, governed, reusable, and AI-ready, while championing ethical, responsible, and regulatory-compliant AI
• Partner closely with senior leaders across Supply Chain, Commercial, Finance, R&D, Manufacturing, Quality, Regulatory, HR, Legal, and IT
• Build, develop, and lead a high-performing, globally distributed organization
• Serve as a senior advisor to executive leadership and represent Baxter with external partners, technology providers, and the broader AI ecosystem

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree (MS, PhD, or MBA) strongly preferred
• 15–20 years of progressive experience across IT, data, analytics, and AI, including 10+ years in senior leadership roles leading global teams
• Proven success defining and delivering enterprise AI and data strategies with measurable business impact
• Deep experience across data platforms, analytics, AI/ML/GenAI, and AI governance
• Proven effectiveness operating in highly regulated environments (medtech, healthcare, pharmaceutical, or life sciences preferred)
• Strong track record of attracting, developing, and retaining top global talent
• Preferred direct experience in MedTech or Life Science with familiarity with global regulatory frameworks
• Leadership of large-scale data modernization and AI platforms
• Executive-level partnership with CEO, Board, and Operating Committee on enterprise transformation initiatives

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree (MS, PhD, or MBA) strongly preferred
• 15–20 years of progressive experience across IT, data, analytics, and AI, including 10+ years in senior leadership roles leading global teams
• Proven success defining and delivering enterprise AI and data strategies with measurable business impact
• Deep experience across data platforms, analytics, AI/ML/GenAI, and AI governance
• Proven effectiveness operating in highly regulated environments (medtech, healthcare, pharmaceutical, or life sciences preferred)
• Strong track record of attracting, developing, and retaining top global talent
• Preferred direct experience in MedTech or Life Science with familiarity with global regulatory frameworks
• Leadership of large-scale data modernization and AI platforms
• Executive-level partnership with CEO, Board, and Operating Committee on enterprise transformation initiatives

Skills

• Defined and implemented enterprise AI and data strategies
• Led enterprise capabilities across data engineering and platforms, data integration, master data management, analytics, business intelligence, and AI delivery
• Translated strategies into multi-year roadmaps with clear business outcomes, investment priorities, and value realization
• Delivered AI and data science projects using modern MLOps and agile practices
• Represented IT – AI and Data on AI Governance Council
• Ensured data is trusted, governed, reusable, and AI-ready, while championing ethical, responsible, and regulatory-compliant AI
• Partnered with senior leaders across various departments
• Developed and led high-performing, globally distributed organizations
• Served as a senior advisor to executive leadership and represented Baxter externally

Benefits

At Baxter, we offer comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that starts on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits.

Pay

The estimated base salary for this position is $304,000-$380,000 annually. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on location, skills and expertise, experience, and other relevant factors.

Schedule

Baxter offers a flexible workplace policy which includes a required minimum number of days a week onsite. This policy provides the benefits of connecting and collaborating in-person in support of our Mission. The flexible workplace policy is subject to local laws and legal requirements.

Equal Employment Opportunity

Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.