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# Product Owner, Lifesciences

- **Company:** Fractal Analytics
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, JIRA, Microsoft Azure, Scrum Methodology, Salesforce.Com, Enterprise Software Applications, Chatbots, Large Language Models, Veeva
- **Published:** August 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ae716b669e4f3a7b

## About the Role

* 4+ years in product ownership/product management, ideally on enterprise software or AI/ML products
 * Comfortable working directly with client stakeholders at multiple levels, including senior leadership
 * Strong writing and communication skills - you can turn messy requirements into a clean brief
 * Working knowledge of agile delivery (Jira/Azure DevOps, sprint planning, backlog management)
 * Based in NY or able to work core EST hours consistently

Nice to Have

 * Experience in pharma/life sciences commercial operations (sales force effectiveness, HCP engagement, omnichannel, market access, or similar)
 * Familiarity with CRM/commercial tools common in pharma (Veeva, Salesforce, IQVIA, or similar)
 * Exposure to LLM-based products, conversational AI, or agentic workflows
 * Consulting or professional services background

## Description

We're hiring a Product Owner to help lead delivery of enterprise AI products for a major life sciences client's commercial organization. You'll sit at the intersection of client stakeholders, engineering teams, and business strategy - translating commercial pharma needs into product requirements, managing sprint delivery, and representing the product roadmap to senior client and internal leadership.

This is a hands-on, high-visibility role. You'll work directly with a senior program lead on a flagship AI engagement spanning sales enablement, content generation, and commercial analytics products built on modern LLM architectures.

What You'll Do

 * Own the product backlog for one or more AI-powered commercial tools - writing user stories, defining acceptance criteria, and prioritizing sprint scope
 * Act as the primary liaison between client business stakeholders and the delivery/engineering team
 * Translate ambiguous business asks into clear technical requirements
 * Run or co-run sprint ceremonies (planning, backlog grooming, demos, retros)
 * Track delivery risks, dependencies, and scope changes; flag issues early
 * Prepare client-facing status updates, roadmap decks, and executive summaries
 * Partner with data science/engineering leads on feasibility and sequencing decisions
 * Represent the voice of the field/end-user (sales reps, brand teams, marketing) in product decisions, You'll be working on a high-priority, high-visibility engagement with real executive attention - not a back-office product role. You'll have direct input into how AI products get shaped for a demanding enterprise client, with room to grow into broader program leadership.


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