Lead & facilitate Scrum (or Agile) ceremonies for data and analytics teams : Sprint Planning, Daily Stand-ups, Reviews, Retrospectives.
Ensure product backlog for data pipelines, analytics features, data quality, and infrastructure is well groomed; provide support to Data Product Owners or Analytics Product Owners.
Work closely with data engineers, data scientists, data analysts, BI engineers, etc., aligning data deliverables with stakeholder requirements.
Identify, communicate, and remove impediments specifically in data workflows (e.g. data source issues, ETL / ELT blockers, dependencies, tooling constraints).
Coach teams in Agile best practices applicable to data work (incremental delivery of data assets, continuous validation, versioning of data schemas, etc.).
Manage dependencies between data teams, engineering, operations, and business stakeholders.
Maintain metrics around velocity, data quality, cycle time, throughput, etc., and use them to drive continuous improvement.
Assist with release planning where data deliverables align with product / BI / ML deliverables.
Promote good data practices : data lineage, documentation, testing, monitoring.
Qualifications & Skills
5+ years of experience as a Scrum Master or Agile facilitator. Experience with data-oriented teams highly preferred.
Strong understanding of data workflows : ETL / ELT, data pipelines, data ingestion, transformation, analytics, BI, possibly ML teams.
Certifications : CSM, PSM, or SAFe Scrum Master or equivalent Agile credentials. Agile Coaching experience a plus.
Excellent communication, stakeholder management, conflict resolution. Ability to translate business / data / stakeholder needs.
Experience working with Agile tools (e.g., Jira, Confluence, Azure DevOps, or others), and familiarity with data tools / version control (where relevant) is a plus.
Ability to handle ambiguity, changing priorities; comfortable working with cross-functional data stakeholders, data ops, business intelligence, etc.
Bonus : Experience scaling Agile across multiple teams (SAFe, LeSS, or similar), experience with data governance / data quality / data ops.
Senior / Performance Expectations
Lead multiple data teams, or be responsible for complex data deliverables across teams.
Drive improvements in data delivery cycle times, quality, reliability.
Mentor junior Scrum Masters or Agile champions.
Influence process improvements not just within teams but at a department or organization level.