Technical Product Manager

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 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 Gen AI‑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, No SQL)
• Familiarity with MLOps practices and AI/ML platform requirements
• Life Sciences Domain Knowledge
• Experience in pharmaceutical or regulated industry environments (Gx P, 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/Gen AI 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
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