We anticipate the application window for this opening will close on - 1 Jul 2026

 

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.

A Day in the Life

As a Senior Business Data Product Owner, you will help advance Medtronic’s mission to alleviate pain, restore health, and extend life by ensuring product teams have the right data, at the right time, to deliver meaningful business and patient outcomes.

Within the Pricing & Contracting (P&C) Agile model, this role serves as the business owner for data enablement across the value stream. You will work across product teams, business stakeholders, and IT to ensure data supports value-based decision-making and accountability. This includes developing a deep understanding of the end-to-end value stream, identifying where data is required to support product outcomes, and making informed business decisions on data priorities, tradeoffs, and impacts. You will partner closely with IT—particularly the IT Data Product Owner (Data Architect)—in a 2-in-a-box model, owning business decisions related to data while contributing to design discussions, feasibility assessments, and sequencing. While you do not build data platforms or pipelines, you ensure that data effectively supports product delivery, value measurement, and decision-making across pods.

At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. This position is remote to enhance our competitive edge and expand our cross-functional collaboration efforts. This role will require 10% of travel to enhance collaboration and ensure successful completion of projects.

         

         

Responsibilities may include the following and other duties may be assigned.

Business Ownership of Data Across the Value Stream

• Responsible for business decisions related to data used across the product value stream
• Collaborate with Value Stream Leader(s), P&C Leadership, and other stakeholder’s to understand value stream data needs
• Understand how data flows across systems, products, and processes
• Assess business impacts, dependencies, and tradeoffs of data‑related decisions

Enabling Product Teams with Data

• Facilitate cross P&C discussions to define Data Product standards and designs, in close collaboration with Product Owners and Architects
• Partner with Product Owners to co-own identification and prioritization of all data-related work across Agile PODS initiatives and features with support from P&C Leadership
• Support teams to make sure they have data to measure value, outcomes, and adoption
• Enable consistent, fact‑based planning, prioritization, and review discussions

Partnership with IT and Enterprise MDM

• Work closely with the IT Data Product Owner, Data Architects, and Enterprise Master Data Management team to articulate data business context and definitions
• Collaborate on technical design options, sequencing, and feasibility assessments
• Balance business priorities with architectural standards and platform constraints

Stakeholder Engagement & Decision Support

• Engage business stakeholders to understand decision needs and data requirements
• Synthesize inputs to support transparent, value‑based decisions
• Communicate impacts and tradeoffs of data decisions clearly to leadership

Data Quality, Governance & Adoption (Business Perspective)

• Champion business definitions, data quality standards, and usage expectations
• Partner with IT and governance teams to ensure data is trusted and consistently interpreted
• Ensure IT Commercial Data Delivery and Enterprise MDM are governing necessary data updates, maintaining data quality and data accuracy according to defined data business context
• Drive adoption by ensuring data aligns to real business decisions and workflows
• Collaborate with the Architects to drive Master Data improvements.

 

Must Haves

• Requires a Bachelor's degree and minimum of 7 years of relevant experience,
• OR an advanced degree with a minimum of 5 years relevant experience.

Nice to Haves

• Experience working with enterprise data governance, master data management (MDM), or data quality initiatives from a business ownership perspective
• Experience working with master data domains such as product, customer, or contract data across enterprise systems
• Ability to understand end‑