Sr. Director, Data & AI Program Portfolio Management

We anticipate the application window for this opening will close on - 11 Aug 2026

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first - developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

A Day in the Life

At Medtronic, you can begin a life-long career of exploration and innovation while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

As the Senior Director, Data & AI Program Portfolio, you will serve as a key member of the Data & AI leadership team and be accountable for establishing and leading the operating system that drives portfolio governance, business operations, financial discipline, organizational effectiveness, and service excellence across the Data & AI organization. This highly visible leadership role will ensure investments translate into measurable business outcomes while strengthening execution, operational rigor, adoption, and value realization across a broad and strategic technology portfolio.

You will partner across Data & AI, Enterprise Architecture, IT, Finance, HR, Strategic Program Management Office (SPMO), IT Business Partners, and enterprise stakeholders to deliver transparency, governance, and execution excellence while driving operational performance, cost efficiency, and service reliability.

This role follows Medtronic's flexible workplace model and requires a minimum of four days per week onsite at one of Medtronic's major U.S. operational hubs, including Minneapolis, MN;
Lafayette, CO;
Mansfield, MA; or North Haven, CT. As a highly collaborative leadership position driving enterprise-wide Data & AI strategy and transformation, regular in-person engagement with business leaders, technology teams, and key stakeholders is essential to foster innovation, accelerate decision-making, and deliver impactful business outcomes across the organization.

In this role, you will:

* Lead the Data & AI operating model, overseeing portfolio intake, prioritization, governance, execution oversight, and business operations to ensure strategic alignment, delivery excellence, and measurable business outcomes.

* Establish enterprise portfolio and PMO standards, including governance frameworks, stage-gate reviews, risk and dependency management, executive reporting, and intervention plans for critical initiatives.

* Drive executive decision-making through data-driven portfolio insights, providing visibility into priorities, investments, milestones, risks, resource constraints, business impacts, and strategic tradeoffs.

* Lead the Data & AI organization's governance and operating rhythms, including portfolio reviews, operational reviews, financial performance discussions, KPI management, and executive decision forums.

* Partner with Finance, Procurement, Legal, and business stakeholders to strengthen financial and commercial management through budgeting, forecasting, vendor governance, cost transparency, contract oversight, and value realization.

* Champion organizational change, adoption, and benefits realization by leading stakeholder engagement, communications, training, business readiness, and post-implementation value assessments.

* Establish and govern service management practices across critical Data & AI platforms, driving service reliability, observability, resilience, operational excellence, and continuous improvement.

* Reduce cost-to-serve and improve operational performance through process simplification, automation, AI-enabled operations, and proactive incident and problem management.

* Serve as a trusted advisor to senior leadership on portfolio strategy, execution risks, organizational effectiveness, operational performance, and investment priorities.

* Build and develop high-performing teams across portfolio management,…