Principal Product Owner, AI

ID Business Solutions Limited; Woking; In loco; GBP 80.000 - 110.000; Tempo pieno

Descrizione del lavoro

IDBS, part of Danaher, seeks a Principal Product Owner for AI to own the AI backlog on the Polar platform and translate RAG capabilities into grounded scientific workflows. This UK-based, office-based role may consider remote arrangements for the right candidate.

You will drive backlog, coordinate with ML eng, data eng and UX, and ensure compliance with 21 CFR Part 11 and GxP while optimizing tenant economics and latency.

Competenze

• Education: Bachelor’s degree (or equivalent practical experience) in Computer Science, Bioinformatics, Data Science, Engineering, or a related field.
• Product Ownership Experience: Multiple years delivering software in Agile/Scrum or SAFe environments.
• AI & RAG Fluency: Experience defining specs for retrieval-augmented generation and related AI features.
• Data Integrity & Governance: Experience with enterprise data governance and regulatory standards (GxP, 21 CFR Part 11, ISO 27001).
• Technical Backlog Elaboration: Ability to write technical user stories and non-functional requirements for engineering/data science teams.
• Travel: Occasional travel up to 10–15% for PI planning, customer visits, or meetings.
• Life Sciences Informatics: Exposure to ELN, LIMS, CMC, or lab data management platforms.
• Modern Cloud Data & AI Stack: Familiarity with AWS Bedrock, OpenSearch, Databricks, MCP integrations.
• Quantitative AI Evaluation: Experience operating automated evaluation harnesses and benchmarks.

Mansioni

• Define AI Capabilities & Scope: translate workflows into INVEST-compliant user stories with acceptance criteria.
• Champion Benchmark & Evaluation Culture: curate data sets and gate quality metrics.
• Oversee Backlog & Agile Delivery: lead sprint planning and PI planning for AI teams.
• Bridge Platform & AI Integration: coordinate data contracts across ELN, spreadsheets, and inventory data.
• Govern Compliance, Security & Unit Economics: ensure tenant isolation and study token economics.
• Drive Customer Adoption & Validation: work with Early Access and Design Partner programs to improve the product.

Conoscenze

Product ownership

AI & RAG fluency

Data governance

Technical backlog elaboration

Life sciences informatics

Cloud data & AI stack

Quantitative AI evaluation

Formazione

Bachelor’s degree or equivalent practical experience

Strumenti

AWS Bedrock

OpenSearch

Databricks

Model Context Protocol (MCP)

Descrizione del lavoro

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At IDBS, one of Danaher's 15+ operating companies, our work saves lives—and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. At IDBS, we are at the cutting edge of providing innovative software solutions and services that empower scientists and researchers to accelerate their discoveries by helping them design, execute and orchestrate processes, manage, contextualize and structure their data and gain valuable insights throughout the drug lifecycle, from R&D through manufacturing. We work with 80% of the top 20 global BioPharma companies. Our customers engage in groundbreaking work, from pioneering biological research to developing new therapies and medicines. Join us at IDBS to continuously grow and make a real impact, working alongside passionate colleagues who care deeply about our mission and each other.

The Principal Product Owner, AI is responsible for owning the product backlog and delivery of AI capabilities across the Polar platform, transforming AI from generic chatbots into reliable, audit-defensible scientific colleagues. You will drive high-impact outcomes by translating retrieval-augmented generation (RAG) and model capabilities into bounded, grounded scientific workflows that accelerate discovery while protecting data integrity, compliance, and multi-tenant unit economics. This position reports to the Senior Director, Platform Product Management and is part of the Platform Product Team and will be an office based role (based in the UK), however a remote position will be considered for the right candidate.

In this role, you will have the opportunity to:

• Define AI Capabilities & Scope: Translate complex scientific and informatics workflows into outcome-focused, INVEST-compliant user stories with probabilistic acceptance criteria (grounding thresholds, citation requirements, latency tolerances, and explicit refusal behavior for unsupported queries).
• Champion Benchmark & Evaluation Culture: Partner with Product Enablement and domain scientists to curate gold-standard evaluation datasets; establish rigorous regression gates and measure retrieval and generation quality (Recall, groundedness, hallucination rate, citation coverage).
• Oversee Backlog & Agile Delivery: Lead sprint planning, refinement, and Program Increment (PI) planning for the AI feature team, collaborating closely with ML engineering, data engineering, and UX.
• Bridge Platform & AI Integration: Partner with upstream data and platform teams to ensure seamless ingestion, metadata promotion, and data contracts across ELN, spreadsheet, and inventory data.
• Govern Compliance, Security & Unit Economics: Ensure permission-aware retrieval and tenant isolation by design (supporting 21 CFR Part 11 and GxP standards) while monitoring token economics, latency, and quota utilization per tenant.
• Drive Customer Adoption & Validation: Collaborate with pilot customers in Early Access and Design Partner programs to validate guided scenarios, isolate data hygiene from algorithm defects, and turn feedback into actionable product improvements.

The essential requirements of the job include:

• Education: Bachelor’s degree (or equivalent practical experience) in Computer Science, Bioinformatics, Data Science, Engineering, or a related scientific/technical field.
• Product Ownership Experience: Multiple years of experience as a Product Owner or Technical Product Manager delivering software products in Agile / Scrum or SAFe environments.
• AI & RAG Fluency: Demonstrated hands-on experience defining specifications for retrieval-augmented generation (RAG), vector search, semantic retrieval, or LLM-driven features in software applications.
• Data Integrity & Governance: Practical experience delivering software subject to strict enterprise data governance, tenant isolation, or regulatory/compliance standards (such as GxP, 21 CFR Part 11, ISO 27001, or equivalent).
• Technical Backlog Elaboration: Proven ability to author technical user stories, acceptance criteria, and non‑functional requirements (latency, throughput, cost/token bounds) for engineering and data science teams.
• Travel, Motor Vehicle Record & Physical/Environment Requirements: Travel: Occasional business travel required (up to 10-15%), including team PI planning events, customer visits, or company meetings.
• Life Sciences Informatics: Direct exposure to Electronic Lab Notebooks (ELN), LIMS, CMC, or laboratory data management platforms.
• Modern Cloud Data & AI Stack: Familiarity with AWS Bedrock, OpenSearch, Databricks, or Model Context Protocol (MCP) tool integrations.
• Quantitative AI Evaluation: Experience operationalizing automated evaluation harnesses and prompt-testing pipelines (e.g., Ragas, TruLens, or custom benchmark suites).

#LI-Onsite Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. Danaher is a leading global life sciences, biotechnology, and diagnostics innovator, helping to solve many of the world’s most important health challenges, ultimately improving quality of life for billions of people today, while setting the foundation for a healthier, more sustainable tomorrow. The Danaher ecosystem is made up of more than 15 businesses united by a shared commitment to innovate for tangible impact. Please read our Applicant Data Privacy Notice carefully here.