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.)

Xebia

Open Positions

Technical Product Manager with Life science or Pharma Domain, R&D Platforms, GCP and AI experience