Sr Data Product Manager - Remote
About The Position
Optum Insight is improving the flow of health data and information to create a more connected system, helping organizations reduce costs while improving risk management, quality, and revenue growth. The Sr Data Product Manager leads strategy, discovery, delivery, and evolution of Medical and Dental domain data products serving healthcare stakeholders across Optum’s payer, provider, and pharmacy networks. This role defines product vision, identifies valuable customer and business opportunities, owns product strategy and roadmaps, and partners with Engineering, Analytics, Product, and Business stakeholders to deliver measurable outcomes in a complex, regulated data environment. The role is remote within the U.S. Employees hired in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must comply with UnitedHealth Group’s Telecommuter Policy. The position requires 10% travel.
Requirements
- 7+ years of product management experience, including building or managing data platforms or large-scale technical products.
- 7+ years of experience managing data products, data platforms, or analytical products through discovery, delivery, launch, and ongoing optimization.
- 5+ years of experience with modern product management practices, including continuous discovery, outcome-based roadmapping, and OKRs.
- 5+ years of experience with healthcare data and data products.
- 3+ years of experience working with cloud-based data ecosystems and modern data architectures.
- Proven ability to partner effectively with engineering, architecture, and data teams.
- Excellent written and verbal communication skills.
- Ability to travel 10%.
- Remote employees must adhere to UnitedHealth Group’s Telecommuter Policy.
- Candidates must pass a drug test before beginning employment.
Nice To Haves
- Experience working in a regulated or highly governed data environment.
Responsibilities
- Own the end-to-end product strategy and roadmap for data products, grounded in customer needs, business objectives, and valuable outcomes.
- Identify and prioritize opportunities using customer insights, market trends, business goals, and data-driven analysis.
- Define and track product outcomes, success metrics, and Objectives and Key Results (OKRs), and reassess strategy and priorities based on evidence and learning.
- Develop artifacts and communicate product vision, priorities, and strategy to cross-functional product teams, leadership, stakeholders, and delivery teams.
- Build an evidence-based understanding of target customers, users, personas, workflows, needs, pain points, constraints, and desired outcomes through ongoing research and product usage analysis.
- Synthesize qualitative and quantitative insights into customer problems and product opportunities, connecting Engineering, Analytics, Data Science, and Data Governance teams directly with users.
- Translate customer and business problems into testable hypotheses, discovery plans, data product capabilities, and measurable success criteria with cross-functional teams.
- Evaluate customer value, usability, technical feasibility, business viability, and compliance risks to determine whether to proceed, iterate, pivot, or stop.
- Develop and maintain expertise in domain data, including source systems, transaction flows, data structures, business processes, metadata, business rules, data quality, and downstream use cases.
- Use platform capabilities and technologies that enable data products; monitor healthcare standards, regulatory changes, emerging technologies, market developments, and competitive offerings, incorporating legal, privacy, security, and compliance requirements into product decisions.
- Manage and prioritize the product backlog, giving Engineering clear problems, target users, outcomes, requirements, scope boundaries, acceptance criteria, constraints, and measures of success.
- Partner with Product Marketing, Implementation, and customer-facing teams on launches, onboarding, and adoption; use product usage, customer feedback, and business outcomes to drive continuous improvement.
- Engage Engineering, Analytics, Data Science, Data Governance, and stakeholders early to align on customer needs, priorities, tradeoffs, risks, constraints, and measures of success.
- Build trust and organizational alignment by delivering on commitments and communicating product strategy, recommendations, progress, value, risks, and decisions transparently and appropriately to each audience.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs, subject to eligibility requirements.
- Equity stock purchase program, subject to eligibility requirements.
- 401(k) contribution, subject to eligibility requirements.
- Development for other roles employees may be interested in.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
