AI Product Owner, Life Sciences (Enterprise)

Fractal; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

Fractal is hiring a Product Owner to 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 pharma needs into product requirements, managing sprint delivery, and presenting the product roadmap to senior client and internal leadership.

This is a high-visibility role working with a senior program lead on an AI engagement spanning sales

Qualifications

• 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.

Responsibilities

• 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.
• 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 in product decisions.

Skills

Product ownership

Enterprise software

Agile / Jira

Stakeholder management

Written communication

Tools

Jira

Azure DevOps

Job description

Fractal is hiring a Product Owner to 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 pharma needs into product requirements, managing sprint delivery, and presenting the product roadmap to senior client and internal leadership.

This is a high-visibility role working with a senior program lead on an AI engagement spanning sales