Project Manager/Scrum Master – Data & Analytics

At CompassX, our clients rely on us to lead high-priority strategic initiatives and transformational projects.  Our mission is to create a community of people who come up with innovative approaches and deliver the best outcomes for our clients.

You will have the opportunity to leverage your experience, creativity, and skills to impact your clients and influence the trajectory of our firm to achieve growth for the team and your career.

We are honored to be recognized as a “Best Place to Work” in Southern California and listed as one of INC.’s 5000 fastest-growing private companies in the U.S.

As a Project Manager/Scrum Master, you’ll have the opportunity to leverage your expertise to make a tangible impact on client outcomes while contributing to the growth of our team and firm. CompassX is proud to be recognized as a “Best Place to Work” in Southern California and one of INC.’s 5000 fastest-growing private companies in the U.S.

 

Agile Delivery & Servant Leadership

• Serve as the hands-on Scrum Master for one or more teams, facilitating all core Agile ceremonies (sprint planning, daily stand-ups, retrospectives), ensuring they are purposeful and outcome-oriented.

• Remove delivery impediments by coordinating proactively across IT, Security, and business partners.

• Coach Product Owners and Engineers on Agile principles, effective user story development, backlog refinement, and flow-based metrics (throughput, cycle time).

AI/ML Ops Implementation

• Drive the adoption of AI/ML Ops practices, including version control, CI/CD for data and models, automated testing, and monitoring.

• Partner with architecture leads to align team practices with modern data platform patterns (e.g., Databricks Lakehouse, RAG, agentic automation).

• Ensure the "Definition of Done" includes operationalization requirements like observability, lineage, and documentation.

Governance, Compliance & Quality

• Ensure delivery practices support regulatory expectations (GxP/SOX) for data and AI in a life sciences context, including validation and audit trails.

• Partner with Data Governance and Security to embed required controls (policy-as-code) directly into team workflows.

• Coordinate multiple functions (IT, regulatory, operations, vendors) to provide effective project delivery leadership.