Senior Technical Product Manager – Human Biology

The role

You will lead strategic technical programs and product backlogs for life sciences R&D applications used by scientists and data teams. You will work across product, engineering, data, AI/ML and scientific teams, from requirements through launch, supporting a leading pharmaceutical company's digital transformation.

What you will do

• Own and prioritize product backlogs across multiple technical workstreams, including biological data repositories, analytical pipelines, and search and visualization platforms
• Lead strategic programs through product development lifecycle governance, from requirements validation through architecture review and launch
• Translate scientific and business requirements into user stories, acceptance criteria and technical requirements
• Coordinate dependencies across data engineering, platform engineering, UI/UX, AI/ML and scientific teams
• Drive user research and feedback loops with scientists and R&D stakeholders to shape product roadmaps
• Define data models, metadata standards, FAIR data requirements and data governance practices
• Ensure security, compliance, data provenance and traceability are addressed throughout the product lifecycle
• Drive UAT, release decisions and launch readiness across technical, business and scientific stakeholders
• Present technical, product and delivery updates to senior stakeholders and governance forums
• Identify opportunities for AI and automation across program management and scientific workflows

Required qualifications

• 8+ years of experience in technical program management, product management, technical delivery or a similar role
• Proven experience leading large, cross-functional programs with multiple engineering teams
• Strong background in life sciences, biopharma, biotech or a closely related scientific domain
• Strong understanding of human biological data and multi-omics data types, such as transcriptomics, proteomics and functional assays
• Practical knowledge of FAIR data principles, biological ontologies, metadata standards and data governance
• Experience in pharmaceutical or highly regulated environments, with knowledge of GxP and/or 21 CFR Part 11
• Strong technical background in software engineering, data engineering, technical architecture or platform development
• Solid understanding of data pipelines, APIs, distributed systems, databases and modern cloud platforms
• Hands-on experience with GCP is required, including services such as BigQuery, Workflows, Vertex AI, Cloud Run and Google Cloud Storage
• Working knowledge of SQL and NoSQL databases and modern data engineering practices
• Strong understanding of Agile, Scrum and hybrid delivery models
• Expert knowledge of Jira and Confluence, with experience maintaining complex backlogs and requirements traceability

Nice to have

• Experience with high-performance computing, large-scale data processing or HPC-to-cloud migration
• Knowledge of GCP architecture for large-scale scientific workloads and storage optimization
• Experience with biological research workflows, in vitro cell models, high-throughput phenomics or translational research
• Experience with human data governance, patient privacy, data reproducibility, lineage and audit readiness
• Experience with vendor management and multi-vendor delivery environments
• Relevant GCP certifications, such as Professional Cloud Architect or Professional Data Engineer

Before you apply

• Recruitment process: CV review, HR call, interview, client interview, decision

About the company

Xebia is a global AI-first digital transformation and engineering partner with 5,000 professionals across 16 countries. Its CEE region has nearly 1,000 experts delivering applications, data platforms and AI solutions for clients across many industries.