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Join us at Maze Therapeutics as our Director of Data Management, where you will play a key role in shaping the data strategy that supports our clinical development programs. You'll partner closely with Biostatistics, Statistical Programming, Clinical Operations, and Regulatory Affairs, and oversee external vendors to deliver high-quality, reliable clinical data across our studies.

Reporting to the Vice President of Biometrics, you'll provide strategic direction and hands-on leadership for clinical data management activities spanning multiple clinical trials. Your work will ensure timely, compliant, and analysis-ready data that supports regulatory submissions and key program decisions.

• Lead data management activities across multiple clinical studies and development phases.
• Shape and implement data management strategies, standards, and best practices.
• Mentor and support data management team members, fostering growth and knowledge sharing.
• Serve as a subject matter expert for data management processes, systems, and regulatory expectations.
• Oversee critical study deliverables including DMPs, CRFs/eCRFs, edit checks, and database locks.
• Guide accurate, consistent, and timely clinical data collection, cleaning, and reconciliation.
• Review and approve key study documentation and ensure readiness for analysis and reporting.
• Drive database lock planning and partner closely with Biostatistics and Medical Writing to support analyses and study reports.
• Manage CROs and external vendors, ensuring clarity around timelines, quality expectations, and contractual commitments.
• Support the evaluation, implementation, and optimization of EDC and data management technologies.
• Collaborate closely with Clinical Operations, Biostatistics, and other partners across the organization.
• Provide data management insights for protocols, study design, and operational planning, while proactively communicating risks and mitigation strategies to senior leadership.

As a Director, we also expect you to demonstrate the following Leadership Competencies:

• Communication and Influence
  • Builds communication channels across Maze for sharing information.
  • Influences Senior Management decisions through persuasive arguments.
  • Respectfully addresses differing opinions leading to support of decisions.
• Teamwork and Collaboration
  • Champions partnerships and connections across Maze.
  • Proactively addresses issues that could result in breakdown of team relationships.
  • Spotlights team and individual contributions in public forums.
• Execution and Results
  • Addresses gaps and leverages strengths to get best results.
  • Maintains a steadying presence and clarifies priorities during change.
  • Anticipates and removes barriers that put functional/corporate goals at risk.
• Develop Others and Self
  • Remove barriers to staff development and empowers them to make their own decisions.
  • Stays current on industry trends and keeps direct-reports prepared and responsive.

• Bachelor's or advanced degree in Life Sciences, Computer Science, or related field
• 8+ years of clinical data management experience in biotech, pharmaceutical, or CRO environments
• 3+ years of people and/or project leadership experience
• Hands-on experience with EDC systems (e.g., Medidata Rave, Oracle InForm)
• Strong understanding of clinical trial operations, data flows, and regulatory expectations
• Collaborative, mentorship-oriented leadership stylewith the ability to influence across teams

This role follows a hybrid schedule, with an expectation to be onsite at our South San Francisco headquarters at least three days per week.

Maze Therapeutics is a clinical-stage biopharmaceutical company harnessing the power of human genetics to develop novel, small molecule precision medicines for patients living with renal, cardiovascular and related metabolic diseases, including obesity. The company is advancing a pipeline using its Compass platform, which allows it to identify and characterize genetic variants in disease and then link those variants to the biological pathways that drive disease in specific patient groups through a process it refers to as variant functionalizati