Technical Product Manager with Life science or Pharma Domain, R&D Platforms, GCP and AI experience

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, 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)

• 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

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