Technical Project Manager
Salary & Market Data
Matched to BLS occupational data · California
Job Description
Technical Project Manager
Full-Time / Direct Hire
Salary – Market- DOE
REMOTE / Foster City, CA (Hybrid- 3-Day/week)- Local from CA preferred,
We are hiring an experienced Technical Project Manager to lead and support a strategic Data Strategy initiative for a global Life Sciences organization. The ideal candidate will possess a strong technical project management background, experience managing data-driven programs, and a solid understanding of Life Sciences processes, regulatory requirements, and GxP compliance.
Full-Time / Direct Hire
Salary – Market- DOE
REMOTE / Foster City, CA (Hybrid- 3-Day/week)- Local from CA preferred,
We are hiring an experienced Technical Project Manager to lead and support a strategic Data Strategy initiative for a global Life Sciences organization. The ideal candidate will possess a strong technical project management background, experience managing data-driven programs, and a solid understanding of Life Sciences processes, regulatory requirements, and GxP compliance.
- 8+ years of Project Management experience, including 4+ years leading Data Strategy / Governance, Data Management or Transformation programs
- Experience managing complex technical projects involving enterprise data platforms and analytics ecosystems
- Strong understanding of project management methodologies (Agile, Scrum, Waterfall, Hybrid)
- Experience working within Life Sciences, Pharmaceutical, Biotechnology, or Healthcare organizations
- Knowledge of GxP regulations, validation processes, and regulated environments
- Experience managing stakeholders across business and technical organizations
- Proficiency with project management tools - Jira, Azure DevOps, Smartsheet, MS Project, or similar
- Strong risk management, communication, and leadership skills
- Lead end-to-end project management for Data Strategy and Data Transformation initiatives
- Work closely with business stakeholders, data architects, engineering teams, and leadership to drive planning, execution, governance, and successful delivery of the data strategy roadmap
- Collaborate with business and technical stakeholders to define project scope, objectives, deliverables, and success criteria
- Develop and manage project plans, schedules, budgets, risks, dependencies, and resource allocations
- Coordinate cross-functional teams, including Data Engineering, Data Architecture, Analytics, Business Intelligence, and Business Operations
- Facilitate requirements gathering, stakeholder workshops, and executive-level status reporting
- Drive data governance, data quality, metadata management, and master data management initiatives
- Ensure project activities comply with Life Sciences regulatory requirements, including GxP standards where applicable
- Monitor project progress, identify risks/issues, and implement mitigation strategies
- Manage communication across business, IT, vendors, and leadership teams
- Support organizational change management and adoption of data strategy initiatives
- Ensure alignment between business objectives and technical solution delivery
- Strong interpersonal skills to build and maintain productive relationships with team members
- Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
- Provides regular updates, proactive and due diligent to carry out responsibilities
- Strategic Program Delivery –– Successfully execute key milestones of the Data Strategy roadmap on schedule and within budget; Establish a structured governance model, including steering committees, stakeholder forums, and project reporting mechanisms; Align business objectives with data initiatives and ensure stakeholder buy-in across functions
- Data Governance & Compliance –– Implement or strengthen data governance processes, standards, and controls; Ensure data-related initiatives comply with GxP requirements and organizational regulatory standards; Facilitate risk assessments and remediation plans for data quality, compliance, and operational risks.
- Stakeholder Engagement –– Build strong relationships with business leaders, IT teams, data owners, and external partners; Establish clear communication channels and executive-level reporting that provide visibility into project health, risks, and achievements; Drive consensus and decision-making across cross-functional teams
- Experience with Data Governance frameworks and tools; Familiarity / experience with cloud data platforms such as AWS, Azure, or Google Cloud
- Experience with Data Warehousing, Data Lakes, Master Data Management (MDM), and Analytics platforms
- PMP, PgMP, PMI-ACP, CSM / SAFe / Scrum Master, or equivalent certification
- Understanding of data privacy and compliance standards relevant to Life Sciences
- Experience working with globally distributed teams and vendors
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