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 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 Product Development Plans (PDPs)
- Create comprehensive user stories with explicit 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 (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 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 engineering stack and databases (SQL, NoSQL)
- Familiarity with MLOps practices and AI/ML platform requirements

Life Sciences Domain Knowledge

- Experience in pharmaceutical or regulated industry environments (GxP, 21 CFR Part 11)
- Understan

📌 Technical Product Manager with Life science or Pharma Domain, R&D Platforms, GCP and AI experience (Montreal)
🏢 Xebia
📍 Montreal