Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
As a Senior Technical Product Manager, you will drive the vision, technical product strategy, and engineering roadmap for an enterprise curated claims data layer spanning over 2,000 tables. In this role, you will design, develop, and deploy AI-ready data solutions that power downstream conversational analytics, generative AI tools, and enterprise decision-making platforms. You will lead cross-functional engineering teams to transform raw healthcare claims data into highly structured, compliant, and performant data products, while leveraging modern AI tools and data engineering frameworks to streamline workflows and drive continuous product innovation.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
- Define and execute the end-to-end technical product strategy and roadmap for a curated claims data layer comprising 2,000+ tables
- Design, develop, and deploy AI-powered data solutions and layer architectures to address complex business challenges with an emphasis on responsible and ethical use of AI
- Leverage enterprise-approved AI tools to streamline workflows, automate data pipeline tasks, and drive continuous product delivery improvements
- Evaluate emerging trends in AI, machine learning, and cloud data architecture to inform solution design, data modeling, and strategic innovation
- Partner with data engineering, cloud architecture, and AI platform teams to establish high-performance data pipelines, schemas, lineage, and access controls optimized for conversational analytics
- Translate business use cases and conversational AI requirements into detailed product specifications, data dictionaries, schema definitions, and prioritized feature backlogs
- Establish data quality, governance, and security standards across all claims data assets to ensure compliance and high accuracy for downstream analytical consumption
- Monitor product usage, pipeline performance, and latency metrics to continuously refine data availability and self-service analytics patterns
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- Bachelor's degree OR 4+ years of equivalent software engineering/data product management experience In Lieu of degree
- 5+ years of experience in technical product management, data product management, or data engineering leadership roles
- 5+ years of experience in Data Governance (e.g.: data utilization, risk assessment tools)
- 3+ years of hands-on experience working with large-scale healthcare data assets, specifically healthcare claims datasets spanning enterprise data warehouses or data lakes or experience in semantic Modeling and management
- 2+ years of experience defining technical product requirements, data models, and pipeline specifications for analytics or AI/ML workloads
- 2+ years of experience building, deploying, or managing AI-powered tools, conversational analytics infrastructure, or machine learning data pipelines
- 2+ years of experience with cloud data platforms (e.g., Snowflake, Databricks, Azure) and advanced SQL data querying tools
Preferred Qualifications:
- Demonstrated experience managing complex data assets containing thousands of tables/schemas in enterprise healthcare or technology environments
- Deep domain knowledge of medical claims, pharmacy claims, EDI 837/835 transactions, and healthcare coding taxonomies (ICD-10, CPT, CPG)
- Knowledge of Generative AI architectures, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases
- Hands-on experience utilizing AI development tools to automate data validation, code generation, or product workflow tracking
- Experience in Agile/Scrum delivery environments utilizing tools such as Jira and Confluence
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
#RPO #GREEN
Skills Required
- Bachelor's degree or 4+ years of equivalent software engineering or data product management experience in lieu of a degree
- 5+ years of experience in technical product management, data product management, or data engineering leadership
- 5+ years of experience in data governance, including data utilization and risk assessment tools
- 3+ years of hands-on experience with large-scale healthcare claims datasets across enterprise data warehouses or data lakes, or semantic modeling and management
- 2+ years of experience defining technical product requirements, data models, and pipeline specifications for analytics or AI/ML workloads
- 2+ years of experience building, deploying, or managing AI-powered tools, conversational analytics infrastructure, or machine learning data pipelines
- 2+ years of experience with cloud data platforms such as Snowflake, Databricks, or Azure and advanced SQL querying tools
- Experience managing complex data assets containing thousands of tables or schemas in enterprise healthcare or technology environments
- Knowledge of medical claims, pharmacy claims, EDI 837/835 transactions, and healthcare coding taxonomies including ICD-10, CPT, and CPG
- Knowledge of generative AI architectures, large language models, retrieval-augmented generation, and vector databases
- Hands-on experience using AI development tools for data validation, code generation, or product workflow tracking
- Experience in Agile/Scrum delivery environments using Jira and Confluence
Optum Compensation & Benefits Highlights
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Parental & Family Support — Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
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Retirement Support — A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
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Equity Value & Accessibility — An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.
Optum Insights
What We Do
Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.