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.
#RPO #GREEN
