Technical Product Manager with Life science or Pharma Domain, R&D Platforms, GCP and AI experienceGet AI-powered advice on this job and more exclusive features.Direct message the job poster from XebiaTitle:Technical Product Manager with Life science or Pharma Domain, R&D Platforms, GCP and AI experienceLocation:RemoteWhat You’ll DoStrategic Product LeadershipOwn end-to-end product strategy, roadmap definition, and business value validation for assigned R&D platform productsDrive continuous discovery and innovation focused on current product development and R&D accelerationLead product through all four PDLC governance checkpoints: Strategy Alignment®, Requirements Validation®, Architecture/Design Review®, LaunchManage 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 experimentationProduct Requirements & DeliveryTranslate complex, ambiguous scientific and technical requirements into clear Product Development Plans (PDPs)Create comprehensive user stories with clear acceptance criteria and robust requirements traceabilityManage backlog prioritization using Jira, Confluence, and Jira Product DiscoveryPartner with Project Managers on scope trade‑offs, resource allocation, and dependency managementDrive UAT, release decisions, and launch readiness across technical and business stakeholdersStakeholder Management & DiscoveryServe as primary point of contact for business stakeholders and R&D end‑usersMap stakeholder landscapes (influence, needs, communication frequency) and develop tailored engagement strategiesConduct user interviews, discovery sessions, and continuous feedback loops with researchers and scientistsFacilitate requirements validation workshops and design reviewsPresent executive‑ready materials to business leadership and governance forumsTechnical Platform ExpertiseDeep understanding of APIs, data flows, cloud platforms (GCP required), and R&D systems architectureWork closely with engineering, infrastructure, and data platform teams on technical feasibility and designMonitor support channels, triage technical requests,



and align them with product strategyUnderstand GCP services (Big Query, Workflows, Vertex AI, Cloud Run, GCS) and integration patternsNavigate complex data ecosystems, authentication systems (SSO, LDAP), and compliance requirementsAI‑Native Product ManagementLeverage Gemini Pro and Atlassian AI for intelligent prioritization, velocity forecasting, and automated insightsApply NLP‑based sentiment analysis and predictive analytics to inform backlog prioritizationCo‑develop AI use cases with client teams (target: 2‑3 production AI use cases per quarter)Drive Gen AI‑powered documentation generation and requirements automationGovernance & ReportingParticipate actively in bi‑weekly sprint planning, retrospectives, and delivery reviewsAttend monthly Product Strategy Reviews with business stakeholders and Product OwnersContribute to quarterly 360° performance reviews and monthly portfolio health reportingMaintain comprehensive Confluence documentation and knowledge‑management practicesRequirementsEssential QualificationsCore Product Management Skills8+ years of product management experience, preferably in technical or platform productsStrong business use case analysis and user interview capabilitiesProven stakeholder mapping, management, and conflict‑resolution abilitiesExcellent requirements documentation and PRD writing skillsDeep understanding of agile development methodologies and hybrid delivery modelsExpert user of Jira and Confluence for backlog management and documentationTechnical ExpertiseStrong technical background with hands‑on software engineering or technical architecture experienceDeep understanding of cloud platforms, with GCP experience requiredExperience building or managing developer platforms, APIs, data pipelines, and infrastructure toolingAbility to read technical documentation,



understand data flows, and speak fluently with engineers and data scientistsWorking knowledge of modern data engineering stack and databases (SQL, No SQL)Familiarity with MLOps practices and AI/ML platform requirementsLife Sciences Domain KnowledgeExperience in pharmaceutical or regulated industry environments (Gx P, 21 CFR Part 11)Understanding of scientific research workflows and R&D systemsAbility to bridge the gap between scientific users (chemists, biologists, computational scientists) and engineering teamsFamiliarity with scientific computing applications and high‑performance computing (HPC) environmentsRecommended QualificationsAdvanced Technical SkillsExperience with high‑performance computing (HPC) environments and HPC‑to‑cloud migrationsKnowledge of GCP’s HPC‑specific offerings and configurationsUnderstanding of authentication systems (SSO, LDAP) and zero‑downtime deployment strategiesFamiliarity with data movement challenges specific to large scientific datasetsCertification in relevant cloud technologies (GCP Professional Cloud Architect, etc.)Strategic & Innovation SkillsStrong strategic vision for product direction and long‑term roadmapsExperience as a product evangelist with ability to drive adoption and change managementTrack record of portfolio rationalization, modernization, and technical debt reductionCapability in cost optimization: license utilization, cloud spend efficiency, ROI analysisBackground in AI/Gen AI applications for scientific workflowsIndustry & Domain ExpertiseBackground in managing external vendor relationships and integration pointsExperience with multi‑vendor coordination and dependency managementUnderstanding of security and compliance requirements in enterprise pharmaceutical environmentsKnowledge of scientific data provenance, reproducibility, and regulatory requirementsFamiliarity with life sciences software vendors (Schrödinger, Benchling, etc.)Seniority levelDirectorEmployment typeFull‑timeJob functionInformation TechnologyIndustriesInformation Services and Technology, Information and MediaReferrals increase your chances of interviewing at Xebia by 2x

📌 Technical Product Manager With Life Science Or Pharma Domain, R&D Platforms, Gcp And Ai Experience (Winnipeg)
🏢 Xebia
📍 Winnipeg