Lead Digital Product Manager - Remote
Minnetonka, Hennepin County, Minnesota, 55345, USA
Listed on 2026-02-28
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Security
At United Healthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together.
Our mission is to make data trustworthy and actionable so teams can deliver smarter consumer experiences. We are evolving the Experience Data Platform to unify fragmented data and enable AI-ready, real-time activation that simplifies and personalizes healthcare. This role plays a key part in delivering capabilities partners can adopt quickly and operate with confidence. You will thrive here if you enjoy complex problems, cross-functional collaboration, and visible impact.
Reporting to the Director, Data Strategy & Stewardship, the Lead Digital Product Manager is responsible for translating our data strategy into tangible products, capabilities, and experiences that enable trusted, high-quality data across the Experience Data Platform. Embedded with one or more engineering pods, this role focuses on the end-to-end product lifecycle for data management capabilities—spanning sourcing, transformation, storage, publishing, and governance—so that marketing, analytics, AI, and other stakeholders can confidently use consumer data to drive outcomes.
The Lead Digital Product Manager actively owns and evolves one or more data product areas (e.g., data quality, data governance, security, data operations). This includes shaping the product vision and roadmap, leading discovery with business partners, defining requirements, and prioritizing work in collaboration with the assigned pods and broader Engineering teams, as well as measuring adoption and value. The role partners closely with Architecture, Engineering, and business stakeholders to ensure that solutions are impactful, feasible, and compliant.
This role requires advanced product management skills, comfort with complex data environments, and the ability to communicate clearly with both technical and non-technical audiences. The Lead Digital Product Manager independently leads complex initiatives, owns one or more data product areas end-to-end, and serves as the primary product counterpart to the assigned pods while collaborating with cross-functional and executive stakeholders to drive decisions.
You’ll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges.
For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities- Act as an enterprise connector, driving proactive and cross functional collaboration with Security, Privacy, Governance, Architecture, and Strategic Platform partners
- Drive and maintain the cross-capability product roadmap for assigned data capabilities (e.g., data quality, governance, security, data operations) in alignment with the overall data management strategy, while integrating pod-level and adjacent roadmaps into a unified Experience Data Platform roadmap with clear sequencing, dependencies, risks, and tradeoffs.
- Lead cross product planning sessions with platform partners (AEP, MDP, Activation, API teams) to ensure alignment across interconnected roadmaps
- Lead early-stage scope, complexity, and effort assessments for new platform and cross team initiatives, developing intake ready problem definitions and solution options while representing Data Strategy & Stewardship in discovery and planning forums to ensure data requirements are identified early
- Partner with Strategic Platform Leads, Architecture, and Engineering to ensure pod solutions align to enterprise data models, AI readiness, metadata standards, and performance/cost targets, while driving solution optioning (good/better/best), complexity analysis, and enterprise wide trade off recommendations
- Collaborate with stakeholders to design and deliver accessible, secure, and scalable data solutions that support marketing, analytics, and AI use…
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