About The Position

Become a part of our caring community and help us put health first The Lead Data Product Manager owns the lifecycle of CenterWell Pharmacy data products—ensuring data assets are trusted, governed, discoverable, and reusable across analytics, operational workflows, digital experiences (web/mobile), and future AI-enabled self-service. This role is accountable for turning both new and legacy pharmacy datasets into well-defined, productized data products, particularly as data is modernized and migrated to Databricks. This position requires an individual who can operate at the strategy level when needed, but is primarily detail-oriented and execution-focused—able to define requirements, manage backlogs, write SAFe features and user stories, align stakeholders, and drive delivery with engineering teams in an Agile SAFe environment.

Requirements

  • Bachelor's Degree
  • 6–10+ years in product management, data product management, analytics product ownership, or a related role delivering data capabilities at scale.
  • Comfortable performing basic data exploration/validation using SQL (not expected to code pipelines, but able to query data to support requirements and problem-solving).
  • Strong stakeholder management: able to align domain SMEs, engineering, analytics, and leadership around shared definitions and priorities.

Nice To Haves

  • Experience with Databricks / lakehouse modernization (or similar platform migrations).
  • Familiarity with DAMA-DMBOK2 concepts applied pragmatically (governance, metadata management, data quality management, stewardship).
  • Experience with healthcare/pharmacy/claims/fulfillment or regulated data environments.
  • Demonstrated experience productizing data assets: improving governance, metadata, usability, quality, and adoption—not just moving data.
  • Proven ability to work effectively in SAFe / Agile environments, including writing Features and User Stories and participating in PI planning and refinement.
  • Strong competency in data concepts:Data modeling and semantics (how definitions translate to usable datasets)Metadata, lineage, quality, stewardship, lifecycle management

Responsibilities

  • Own the Pharmacy Data Product Portfolio (New + Legacy)
  • Productize Data During Modernization / Migration to Databricks
  • Implement Practical Data Governance Foundations (DAMA-aligned)
  • Enable Self-Service Analytics and AI Readiness Through Better Usability
  • Support Downstream Product Experiences (Web/Mobile & Operational)
  • Deliver via SAFe Agile (Features, Stories, and Backlog Ownership)

Benefits

  • Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
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