Senior Business Data Product Owner - Pricing & Contracts Operations (Remote, USA)
at Medtronic
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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 LifeAs 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 StreamResponsible for business decisions related to data used across the product value streamCollaborate with Value Stream Leader(s), P&C Leadership, and other stakeholder’s to understand value stream data needsUnderstand how data flows across systems, products, and processesAssess business impacts, dependencies, and tradeoffs of data‑related decisionsEnabling Product Teams with DataFacilitate cross P&C discussions to define Data Product standards and designs, in close collaboration with Product Owners and ArchitectsPartner 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 LeadershipSupport teams to make sure they have data to measure value, outcomes, and adoptionEnable consistent, fact‑based planning, prioritization, and review discussionsPartnership with IT and Enterprise MDMWork closely with the IT Data Product Owner, Data Architects, and Enterprise Master Data Management team to articulate data business context and definitionsCollaborate on technical design options, sequencing, and feasibility assessmentsBalance business priorities with architectural standards and platform constraintsStakeholder Engagement & Decision SupportEngage business stakeholders to understand decision needs and data requirementsSynthesize inputs to support transparent, value‑based decisionsCommunicate impacts and tradeoffs of data decisions clearly to leadershipData Quality, Governance & Adoption (Business Perspective)Champion business definitions, data quality standards, and usage expectationsPartner with IT and governance teams to ensure data is trusted and consistently interpretedEnsure IT Commercial Data Delivery and Enterprise MDM are governing necessary data updates, maintaining data quality and data accuracy according to defined data business contextDrive adoption by ensuring data aligns to real business decisions and workflowsCollaborate with the Architects to drive Master Data improvements. Must HavesRequires 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 HavesExperience working with enterprise data governance, master data management (MDM), or data quality initiatives from a business ownership perspectiveExperience working with master data domains such as product, customer, or contract data across enterprise systemsAbility to understand end‑to‑end value streams and how data supports product outcomes, operational processes, and business decisionsStrong product mindset with emphasis on value‑based decision‑making and enabling measurable product outcomesComfort making tradeoffs and assessing business impacts of data‑related decisions across systems and stakeholdersExperience partnering with technical teams, architects, or engineers to define business data requirements without owning technical implementationExperience working across interconnected business systems and integrations, with an understanding of how data flows between platforms and impacts downstream operationsExperience enabling teams with data to measure product value, adoption, performance metrics, and business outcomesExperience working with enterprise systems such as SAP or integrated platforms where master data drives operational and reporting processesExperience supporting data cleansing, deduplication, or data standardization initiatives involving customer, product, or contract recordsStrong stakeholder engagement and communication skills with the ability to align business teams around common data definitions and standardsFamiliarity with Agile or product‑based delivery environments supporting cross‑functional teams and value‑driven prioritizationProficiency in Snowflake, Databricks, and webMethodsProficiency with Microsoft Office tools (Excel, PowerPoint, Word), Teams, SharePoint, and other collaboration or planning toolsFor Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirem
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