Senior Technical Product Manager - R&D Platforms
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XebiaLife Sciences, Pharma
Remote, UK/CAN/Central Europe/Poland preferred, Must be available for UK time zoneFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- SQLGCPProduct ManagementJiraData engineeringNosqlRESTful APIsConfluenceMLOps
Requirements
- 8+ years of product management experience, preferably in technical or platform products.
- Strong technical background with hands-on software engineering or technical architecture experience.
- Deep understanding of cloud platforms, with GCP experience required.
- Experience building or managing developer platforms, APIs, data pipelines, and infrastructure tooling.
- Proven experience in pharmaceutical or regulated industry environments (GxP, 21 CFR Part 11).
- Understanding of scientific research workflows and R&D systems.
- Expert user of Jira and Confluence for backlog management and documentation.
- Strong business use case analysis and user interview capabilities.
- Ability to bridge the gap between scientific users and engineering teams.
- Working knowledge of modern data engineering stack and databases (SQL, NoSQL).
- Familiarity with MLOps practices and AI/ML platform requirements.
Responsibilities
- Own end-to-end product strategy, roadmap definition, and business value validation for assigned R&D platform products.
- Manage large strategic initiatives or portfolios of 5-10 established applications, driving continuous discovery and innovation.
- Guide products through all four PDLC governance checkpoints: Strategy Alignment, Requirements Validation, Architecture/Design Review, and Launch.
- Translate complex scientific and technical requirements into clear Product Development Plans and comprehensive user stories.
- Collaborate with project managers, engineering teams, and business stakeholders to manage scope, resources, and dependencies.
- Drive UAT, release decisions, and launch readiness across technical and business functions.
- Map stakeholder landscapes and develop tailored engagement strategies, including user interviews and requirements validation workshops.
- Leverage AI tools and analytics to inform backlog prioritization and co-develop production AI use cases.
- Monitor support channels and triage technical requests, aligning them with overall product strategy.
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