Senior Manager Product Owner, Digital Solutions, Technical Development

Gilead Sciences

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Foster City, CA
Employment
Full-time
Posted
38 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $196k
$155k most similar roles pay here $237k

This listing doesn't post a salary. Most similar roles pay $177,250–$214,900.

Based on 240 similar postings.

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About Gilead Sciences

Gilead Sciences, Inc. is a leading American biopharmaceutical company specializing in discovering, developing, and commercializing innovative medicines for unmet medical needs.

Gilead Sciences currently has 33 open roles on FindRole.

Listed pay typically runs $169,320–$219,120 across 27 roles with salary data.

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At a glance

TL;DR · Senior Manager Product Owner, Digital Solutions, Technical Development

Senior Manager (Product Owner), Digital Solutions, Technical Development joins the R&D Information Systems team to manage a portfolio of technical development digital solution areas. This role translates complex scientific workflows into build-ready requirements, maintains prioritized backlogs, and coordinates cross-functional delivery with data science, IT, and quality teams. The position focuses on improving scientific workflows for biologics and small molecule development through lab digitalization, ELN expansion, material management, and workflow automation. Key responsibilities include embedding AI, modeling, and computational capabilities into digital workflows while ensuring compliance with responsible AI governance. Candidates must possess expertise in product ownership, business process analysis, and laboratory informatics. Required skills include translating operational needs into user stories and acceptance criteria, managing integration concepts like APIs and metadata, and navigating GMP-adjacent environments to deliver scalable, data-enabled solutions that enhance consistency across technical development initiatives.

What you'll do

  • Translate scientific workflows and stakeholder needs into build-ready requirements, including user stories and acceptance criteria.
  • Maintain a prioritized product roadmap and backlog while balancing organizational impact, technical complexity, and risk.
  • Integrate AI, data science, and automation capabilities into digital workflows to improve scientific outcomes.
  • Coordinate cross-functional delivery by guiding development teams on priorities, dependencies, and release readiness.
  • Partner with IT, Quality, and Data Science teams to ensure solutions meet compliance and integration standards.
  • Identify opportunities to reuse requirements and workflow patterns across different technical initiatives to reduce duplication.
  • Manage user validation, rollout planning, training, and feedback loops for new digital capabilities.
  • Ensure AI-enabled solutions comply with corporate governance and risk-based assessment protocols.

What we're looking for

  • BA/BS with 8+ years experience, MA/MS/MBA with 6+ years experience, or a PhD with relevant scientific, technical, informatics, or business systems experience.
  • Experience in product ownership, business process analysis, solution delivery, data platforms, or technical systems implementation in a lab environment.
  • Experience supporting pharmaceutical development, Technical Development, CMC, laboratory informatics, ELN, sample management, or workflow automation.
  • Ability to translate complex scientific or operational workflows into clear requirements, process flows, user stories, and UAT plans.
  • Strong communication skills to synthesize technical topics and partner with cross-functional teams including IT, Quality, and Data Science.
  • Working knowledge of data and integration concepts such as APIs, metadata, identifiers, and data quality for scalable digital solutions.
  • Experience integrating data science, AI-enabled, or computational capabilities into scientific workflows (preferred).
  • Experience working in GMP-adjacent environments with fit-for-purpose documentation and change control (preferred).

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