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

Job in Trochu, Alberta, Canada
Listing for: Xebia
Full Time position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    Product Designer
Job Description & How to Apply Below
Position: Technical Product Manager with Life science or Pharma Domain, R&D Platforms, GCP and AI experience
Location: Trochu

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

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

Location: Remote

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 sun setting)
  • Conduct continuous validation of business value through metrics, user feedback, and experimentation
Product Requirements & Delivery
  • Translate complex, ambiguous scientific and technical requirements into clear Product Development 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, release decisions, 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, discovery sessions, 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 systems architecture
  • Work closely with engineering, infrastructure, and data platform teams on technical feasibility and design
  • Monitor support channels, triage technical requests, and align them with product strategy
  • Understand GCP services (Big Query, Workflows, Vertex

    AI, 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 knowledge‑management 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 conflict‑resolution 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 fluently with engineers and data scientists
  • Working knowledge of modern data…
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