At a Glance
- Tasks: Lead product strategy and innovation for R&D platforms in the life sciences sector.
- Company: Join a forward-thinking tech company focused on life sciences and AI.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Make a real impact in the life sciences industry with cutting-edge technology.
- Qualifications: 8+ years in product management with strong technical and life sciences knowledge.
The predicted salary is between 130500 - 159500 $ per year.
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 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 (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
- 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).
- Understanding of scientific research workflows and R&D systems.
- Ability to bridge the gap between scientific 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’s HPC-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 relevant cloud technologies (GCP Professional Cloud Architect, 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: license utilization, cloud spend efficiency, ROI analysis.
- Background in AI/GenAI applications 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 software vendors (Schrödinger, Benchling, etc.).
Seniority level: Director
Employment type: Full-time
Job function: Information Technology
Industries: Information Services and Technology, Information and Media
Technical Product Manager in Winnipeg employer: Xebia
Xebia is an exceptional employer that fosters a culture of innovation and collaboration, particularly for the Technical Product Manager role in the life sciences and pharma domain. With a focus on employee growth, Xebia offers extensive opportunities for professional development, including access to cutting-edge technologies like GCP and AI, all while working remotely. The company values strategic thinking and encourages its employees to drive meaningful change in R&D platforms, making it a rewarding place for those looking to make a significant impact in their field.
We think you need these skills to ace Technical Product Manager in Winnipeg
Product Management
R&D Platforms
GCP (Google Cloud Platform)
AI/ML Knowledge
Stakeholder Management
User Story Creation
Backlog Prioritization
