Project Manager/Scrum Master – Data & Analytics
Resumo da vaga pela JobGrid
Project Manager/Scrum Master – Data & Analytics at compassx: San Diego, Estados Unidos; Presencial; Sénior; TI; Outra TI. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: San Diego, Estados Unidos, Presencial
- Role classification: TI, Outra TI, Sénior
- Source freshness: checked by JobGrid on 2026-06-04.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Agile Delivery & Servant Leadership
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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.
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Remove delivery impediments by coordinating proactively across IT, Security, and business partners.
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Coach Product Owners and Engineers on Agile principles, effective user story development, backlog refinement, and flow-based metrics (throughput, cycle time).
Ops Implementation
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Partner with architecture leads to align team practices with modern data platform patterns (e.g., Databricks Lakehouse, RAG, agentic automation).
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Ensure the "Definition of Done" includes operationalization requirements like observability, lineage, and documentation.
Governance, Compliance & Quality
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Ensure delivery practices support regulatory expectations (GxP/SOX) for data and AI in a life sciences context, including validation and audit trails.
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Partner with Data Governance and Security to embed required controls (policy-as-code) directly into team workflows.
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Coordinate multiple functions (IT, regulatory, operations, vendors) to provide effective project delivery leadership.
We look for our Managers to have several of the following:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Advanced degree or certifications like CSM, PMI-ACP, or SAFe preferred).
5–8+ years in Agile delivery roles supporting data, analytics, or software engineering teams.
Hands-on experience implementing DevOps or MLOps practices (CI/CD pipelines, observability, incident response) for AI/ML workloads.
Experience in Life Sciences, Healthcare, or other regulated industries is strongly preferred.
Working knowledge of modern architectures (Lakehouse, vector search, semantic layers) and tools such as Databricks and Jira
Benefits
- Competitive base salary plus a generous upside variable compensation model
- Annual performance reviews that are straightforward and transparent
- PTO plus holidays plus sick time
- Sabbatical program
- Health, dental, vision, term life, AD&D
- Retirement plan with company matching
- Continuous education investments to grow your skills & knowledge
- Small firm feel and direct relationships with the Executive Leadership Team
- Opportunity to design and build a firm
- Remote working options
- Opportunity to build a professional network in your community