Product Owner

Stellus Rx LLC•Plano, TX

About The Position

The Product Owner will be a member of Stellus Rx’s Product Team, partnering with company leaders and cross-functional teams to support personalized health services. The role owns the backlog for an assigned product area or initiative and translates product strategy into actionable work aligned with team OKRs and sprint goals. It uses AI tools throughout discovery, planning, backlog management, analytics, reporting, and stakeholder communication to accelerate research and delivery and improve the quality of product decisions. The Product Owner supports user and stakeholder research, synthesizes clinical and customer feedback, writes and refines user stories, participates in Agile ceremonies, and helps define KPIs and event tracking. The role also partners with Data, Engineering, clinical, and operational teams on prioritization, technical trade-offs, release readiness, performance reporting, and risk identification.

Requirements

At least 2 years of Product Owner or Product Management experience.
Experience owning a backlog or workstream within a larger product domain or initiative.
Experience working in Agile environments.
Hands-on experience using AI tools to support product discovery, backlog management, reporting, or stakeholder communication, with specific examples to discuss.
Familiarity with analytics frameworks and KPI measurement.
Exposure to ROI analyses and business case development.
Ability to build effective working relationships with stakeholders across teams.
Strong written and verbal communication skills.

Nice To Haves

Scaled Agile exposure.
Healthcare, pharmacy, or Medicare Advantage experience.
Experience using AI tools for qualitative research synthesis, user story generation, or product analytics, such as Claude, ChatGPT, or Notion AI.
Familiarity with AI-powered product analytics platforms such as Heap or Amplitude.
Exposure to prompt engineering in a product management or research context.
Familiarity with FHIR/HL7 or pharmacy data standards.
Bachelor’s degree or equivalent experience.

Responsibilities

Own the product backlog for an assigned product area or initiative and use AI tools to analyze market signals, synthesize stakeholder input, and identify opportunities.
Translate product strategy into actionable backlog items aligned with team OKRs and sprint goals, using AI to model prioritization options and trade-offs.
Support cost-benefit and impact analysis to guide prioritization and accelerate business case development.
Communicate backlog priorities and roadmap updates to teams and stakeholders.
Support discovery through stakeholder interviews, journey mapping, and workflow analysis; use AI to synthesize research and identify patterns in user and clinical feedback.
Analyze product feedback, support data, and usage patterns to inform backlog prioritization.
Help maintain the product feedback collection mechanism and convert categorized customer feedback into actionable backlog items.
Write, refine, and quality-check user stories, including acceptance criteria, non-happy-path scenarios, edge cases, and dependencies.
Use AI to support backlog refinement, sprint planning preparation, and release-readiness documentation.
Participate in Agile ceremonies, including backlog refinement, sprint planning, and sprint demos.
Help define KPIs and success metrics and specify event-tracking requirements for key user behaviors.
Partner with Data teams on dashboards and post-release impact reporting; use AI to accelerate dashboard design and summarize outcomes.
Monitor initiative performance with AI-assisted analytics and flag early signals of underperformance.
Communicate initiative performance and roadmap updates to stakeholders.
Partner with clinical, operational, and technical stakeholders to support prioritization with AI-informed analysis and data-driven input.
Partner with Engineering on system-level design decisions and technical trade-offs.
Help define and communicate release-readiness criteria, including UAT, operational readiness, and compliance checks.
Help identify and escalate product and operational risks, using AI-assisted tools for scenario planning where helpful.