Technical Product Owner

HumanaBoston, MA
Hybrid

About The Position

The Senior IT Product Owner for the Next Best Action (NBA) Decision Intelligence Platform owns the product backlog and roadmap for an AI-powered personalized outreach platform serving Medicare Advantage members across omnichannel touchpoints. This person is the connective tissue between business strategy, data capabilities, and activation channels, translating complex cross-functional dependencies into sequenced, deliverable increments of value.

Requirements

  • Hybrid in Boston, MA with time in office
  • Bachelor's degree in computer science or relevant field
  • 5+ years of experience
  • Experience as a Product Owner or Technical PM on a data-intensive or AI/ML platform - you understand pipelines, data quality, and model feedback loops as product problems, not just engineering concerns
  • Proven ability to manage external dependencies across data teams, digital development, and vendor channel integrations
  • Experience writing acceptance criteria and user stories that span team boundaries
  • Comfort reasoning about data - you can read a schema, interrogate a dashboard, and spot when something looks wrong
  • Demonstrated use of AI productivity tools (Claude, ChatGPT, Copilot, or similar) in day-to-day work - writing, research, analysis, or workflow automation. We expect this role to actively leverage AI to move faster with high-quality outputs.
  • Must have the ability to provide a high-speed DSL or cable modem for a home office.
  • A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
  • Satellite and Wireless Internet service is NOT allowed for this role.
  • A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Nice To Haves

  • Familiarity with Adobe Experience Platform or similar marketing activation tools
  • Experience with cloud data platforms (Databricks, Snowflake, or equivalent)
  • Background in healthcare, insurance, or other regulated industries where compliance and member consent are first-class product concerns
  • Exposure to A/B testing frameworks and how to translate experiment results into roadmap decisions

Responsibilities

  • Product backlog and roadmap - prioritize features across AI decisioning, data pipelines, and channel activation in close collaboration with engineering, data science, and business stakeholders
  • Data dependency management - partner with data engineering teams to ensure the right member signals (clinical, behavioral, web activity, socioeconomic) are flowing into our Databricks Lakehouse to support model training and scoring
  • Channel activation coordination - manage integration timelines and requirements with digital development teams, Adobe Experience Platform, and outreach channel teams (email, SMS, direct mail) to ensure personalized actions reach members reliably and on time
  • User story authorship - write precise, implementation-ready stories that bridge technical detail with business intent across data engineering, ML engineering, backend, and front-end squads
  • Stakeholder alignment - translate model performance, campaign results, and A/B test outcomes into business language for senior leadership; bring field and operational insights back to delivery teams
  • Rules and eligibility governance - own the backlog for business rules (suppression, frequency caps, consent, eligibility), working with compliance and business owners to keep logic current and auditable

Benefits

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