Technical Product Manager with Life science or Pharma Domain, R&D Platforms, GCP and AI experience
For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI-driven digital transformation. Since 2001, we have grown into a full-service digital consulting company with 5500+ professionals working on a worldwide ambition.
Driven by the desire to make a difference, we keep innovating. Fueling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high-quality way of working that inspires all we do.
Title: -Technical Product Manager with Life science or Pharma Domain, R&D Platforms, GCP and AI experience
Location: - Remote
Job Description: -
What You'll Do
Strategic Product Leadership
- Own end-to-end product strategy,roadmap definition, and business value validation for assigned R&D platform products
- Drive continuous discovery and innovation focused on new product development and R&D acceleration
- Lead product through all four PDLC governance checkpoints: Strategy Alignment ® Requirements Validation ® Architecture/Design Review ® Launch
- Manage large strategic initiatives OR portfolios of 5-10 established applications (including modernization, rationalization, or sunsetting)
- Conduct continuous validation of business value through metrics, user feedback, and experimentation
Product Requirements &Delivery
- Translate complex, ambiguous scientific and technical requirements into clear ProductDevelopment Plans (PDPs)
- Create comprehensive user stories with clear acceptance criteria and robust requirements traceability
- Manage backlog prioritization using Jira, Confluence, and Jira Product Discovery
- Partner with Project Managers on scope trade-offs, resource allocation, and dependency management
- Drive UAT, releasedecisions, and launch readiness across technical and business stakeholders
Stakeholder Management & Discovery
- Serve as primary point of contact for business stakeholders and R&D end-users
- Map stakeholder landscapes (influence, needs, communication frequency) and develop tailored engagement strategies
- Conduct user interviews, discoverysessions, and continuous feedback loops with researchers and scientists
- Facilitate requirements validation workshops and design reviews
- Present executive-ready materials to business leadership and governance forums
Technical Platform Expertise
- Deep understanding of APIs, data flows, cloud platforms (GCP required), and R&D systemsarchitecture
- Work closely with engineering, infrastructure, and data platformteams on technicalfeasibility and design
- Monitor support channels, triage technical requests, and align them with product strategy
- Understand GCP services(BigQuery, Workflows, VertexAI, Cloud Run, GCS) and integration patterns
- Navigate complex data ecosystems, authentication systems (SSO, LDAP), and compliance requirements
AI-Native Product Management
- Leverage Gemini Pro and Atlassian AI for intelligent prioritization, velocity forecasting, and automated insights
- Apply NLP-based sentiment analysis and predictive analytics to inform backlog prioritization
- Co-develop AI use cases with client teams (target: 2-3 production AI use cases per quarter)
- Drive GenAI-powered documentation generation and requirements automation
Governance & Reporting
- Participate actively in bi-weekly sprint planning, retrospectives, and delivery reviews
- Attend monthly Product Strategy Reviews with business stakeholders and Product Owners
- Contribute to quarterly 360° performance reviews and monthly portfolio health reporting
- Maintain comprehensive Confluence documentation and knowledgemanagement practices
Requirements
Essential Qualifications
Core Product Management Skills
- 8+ years of product management experience, preferably in technical or platform products
- Strong business use case analysis and user interview capabilities
- Proven stakeholder mapping,management, and conflictresolution abilities
- Excellent requirements documentation and PRD writing skills
- Deep understanding of agile development methodologies and hybrid delivery models
- Expert user of Jira and Confluence for backlog management and documentation
Technical Expertise
- 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
- Ability to read technical documentation, understand data flows, and speak fluentlywith engineers and data scientists
- Working knowledge of modern data engineering stack and databases(SQL, NoSQL)
- Familiarity with MLOps practices and AI/ML platform requirements
Life Sciences Domain Knowledge
- Experience in pharmaceutical or regulated industryenvironments (GxP, 21 CFR Part 11)
- Understanding of scientific research workflows and R&D systems
- Ability to bridge the gap betweenscientific users (chemists, biologists, computational scientists) and engineering teams
- Familiarity with scientific computing applications and high-performance computing(HPC) environments
Recommended Qualifications Advanced Technical Skills
- Experience with high-performance computing (HPC) environments and HPC-to-cloud migrations
- Knowledge of GCP'sHPC-specific offerings and configurations
- Understanding of authentication systems (SSO, LDAP) and zero-downtime deployment strategies
- Familiarity with data movement challenges specific to large scientific datasets
- Certification in relevantcloud technologies (GCP Professional CloudArchitect, etc.)
Strategic & Innovation Skills
- Strong strategic vision for product direction and long-term roadmaps
- Experience as a product evangelist with ability to drive adoption and change management
- Track record of portfolio rationalization, modernization, and technical debt reduction
- Capability in cost optimization: licenseutilization, cloud spendefficiency, ROI analysis
- Background in AI/GenAIapplications for scientific workflows
Industry & Domain Expertise
- Background in managing external vendor relationships and integration points
- Experience with multi-vendor coordination and dependency management
- Understanding of security and compliance requirements in enterprise pharmaceutical environments
- Knowledge of scientific data provenance, reproducibility, and regulatory requirements
- Familiarity with life sciences softwarevendors (Schrödinger, Benchling, etc.)
