Technical Project Manager

Technical Project Manager Full-Time / Direct-Hire Foster City, CA 94404 We are seeking an experienced Technical Project Manager to lead and support Clinical Trial Management System (CTMS) integration with other systems for a global Life Sciences organization. The ideal candidate will possess a strong technical project management background, experience managing data-driven programs specifically integrations, and a solid understanding of Life Sciences processes, Regulatory requirements, and GxP compliance . Work closely with business stakeholders, data architects, engineering teams, and leadership to drive planning, execution, governance, and successful delivery of the data strategy roadmap

Skills / Experience

• 8+ years of Project Management experience, including 3+ years leading Data Integration programs and 2+ years of experience in managing Data Lake Sprints
• 4+ years of experience in building & maintaining project plans, maintaining RAID (Risks, Action Items, Issues and Dependencies) logs
• Providing Weekly Status Reporting to Leadership teams; Experience in coordinating project execution across different teams involved
• Strong understanding of project management methodologies (Agile, Scrum, Waterfall, Hybrid)
• Experience working within Life Sciences, Pharmaceutical, Biotechnology, or Clinica/Healthcare organizations
• Experience, Knowledge of GxP regulations, validation processes, and regulated environments
• Proficiency with project management tools such as Jira, Azure DevOps, Smartsheet, MS Project, or similar
• Strong risk management, communication, and leadership skills

Secondary Skills / Good to have

• Experience with Data Governance frameworks and tools; Familiarity with Cloud data platforms such as AWS, Azure, or Google Cloud
• Experience with Data Warehousing, Data Lakes, Master Data Management (MDM), and Analytics platforms
• Understanding of data privacy and compliance standards relevant to Life Sciences
• Experience working with globally distributed teams and vendors
• PMP, PgMP, PMI-ACP, Scrum Master, or equivalent certification(s)

Job / Role Description

• Lead end-to-end project management for Data Strategy and Data Transformation initiatives
• Support integrations in Data Space - like Clinical Trial Management System (CTMS) with other systems
• Manage Data Lake Sprints; Provide weekly status reporting
• Develop and manage project plans, schedules, budgets, risks, dependencies, and resource allocations
• Maintain RAID (Risks, Action Items, Issues and Dependencies) logs with regular updates
• Coordinate execution across teams - 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
• Communicate effectively with internal and customer stakeholders; Problem-Solving and Analytical Thinking
• Strong interpersonal skills to build and maintain productive relationships with team members
• 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

What Success Looks Like / Expected Outcome Technical Project Manager Will Have Successfully Established And Driven The Data Strategy Program, Delivering Measurable Business And Technical Outcomes, Including

• 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