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Job Description & How to Apply Below
Direct message the job poster from Xebia
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, 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…
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