Sr. Director, Data & AI Program Portfolio Management
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-08-02
Listing for:
Medtronic plc
Full Time
position Listed on 2026-08-02
Job specializations:
-
Business
Change Management, AI Business & Operations, Corporate Strategy
Job Description & How to Apply Below
Sur site locations:
Minneapolis, Minnesota, United States of America:
Mansfield, Massachusetts, United States of America:
Irvine, California, United States of America:
North Haven, Connecticut, United States of America:
Memphis, Tennessee, United States of America time type:
Temps pleinposted on:
Offre publiée aujourd'huitime left to apply:
Date de fin : 11 août 2026 (Il reste 11 jour(s) pour postuler) job requisition :
R73016
We anticipate the application window for this opening will close on - 11 Aug 2026
Chez Medtronic, vous pouvez entamer une longue carrière d’exploration et d’innovation tout en aidant à soutenir l’accès aux soins de santé et l’équité pour tous. Vous dirigerez avec détermination en surmontant les obstacles à l’innovation dans un monde davantage connecté et compatissant.
** Journée type
** 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,…
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