Senior AI Product Owner – Life Sciences Platform

Danaher Corporation; United States; Hybrid; USD 114,000 - 162,000; Full time

Job summary

IDBS, a Danaher operating company, seeks a Senior Product Owner, AI, to own the AI backlog and deliver capabilities across the Polar platform. Translate RAG and model capabilities into bounded scientific workflows that accelerate discovery while ensuring data integrity and regulatory compliance.

This is an office-based role in the UK, with remote consideration for the right candidate. You will lead agile delivery with ML, data, and UX teams; coordinate with upstream data and platform teams for

Qualifications

• Bachelor’s degree or equivalent practical experience in Computer Science, Bioinformatics, Data Science, Engineering, or related field.
• Proven experience delivering software in Agile / Scrum or SAFe environments.
• Hands-on experience defining specifications for RAG, vector search, semantic retrieval, or LLM-driven features.
• Experience with enterprise data governance, tenant isolation, or regulatory standards (GxP, 21 CFR Part 11, ISO 27001).

Responsibilities

• Define AI capabilities and translate complex workflows into outcome-focused user stories with acceptance criteria.
• Lead backlog refinement and agile delivery with ML, data, and UX teams.
• Coordinate with upstream data/platform teams to ensure seamless ingestion and data contracts across ELN, spreadsheets, and inventory data.
• Govern data privacy, security, and unit economics across tenants (per 21 CFR Part 11 and GxP).
• Drive customer adoption and validation with pilots to turn feedback into product improvements.
• Travel up to 10–15% as needed.

Skills

Product ownership experience

AI & RAG fluency

Data integrity & governance

Technical backlog elaboration

Education

Bachelor's degree or equivalent practical experience in a technical field

Tools

AWS Bedrock

OpenSearch

Databricks

Model Context Protocol (MCP)

Job description

IDBS, a Danaher operating company, seeks a Senior Product Owner, AI, to own the AI backlog and deliver capabilities across the Polar platform. Translate RAG and model capabilities into bounded scientific workflows that accelerate discovery while ensuring data integrity and regulatory compliance.

This is an office-based role in the UK, with remote consideration for the right candidate. You will lead agile delivery with ML, data, and UX teams; coordinate with upstream data and platform teams for