On-site
Full Time
Scrum Master – Data Governance & Operations
Experience: 8+ years
Location: Hyderabad (WFO)
We are seeking an experienced Scrum Master to support Data Engineering, Data Governance, and Data Operations teams. This role will facilitate Agile delivery while ensuring strong governance, operational excellence, and alignment with enterprise data standards. The Scrum Master will act as a servant leader, removing impediments, improving delivery predictability, and partnering closely with Product Owners, Data Engineers, and Operations teams.
• 8+ years of experience as a Scrum Master or Agile Delivery Lead
• Strong experience supporting Data Engineering, Analytics, or Platform teams
• Solid understanding of data governance, data quality, and compliance concepts
• Hands-on experience with Agile tools such as Rally, Jira, or Azure DevOps
• Experience working with cloud data platforms (Snowflake, AWS, Azure, GCP preferred)
• Strong facilitation, communication, and conflict-resolution skills
Agile / Scrum Delivery
• Facilitate Scrum ceremonies: Daily Stand-ups, Sprint Planning, Backlog Grooming, Sprint Reviews, and Retrospectives
• Coach data teams on Agile best practices and continuous improvement
• Ensure sprint commitments are realistic and aligned with capacity
• Track and report sprint metrics (velocity, burn-down, predictability)
• Support dependency management across data, platform, and upstream/downstream teams
• Partner with Data Governance, Security, and Compliance teams to ensure governance requirements are embedded into Agile delivery
• Ensure stories include governance aspects such as:
• Data quality checks
• Metadata management
• Access controls and entitlement reviews
• Audit and regulatory requirements
• Promote Definition of Done (DoD) that includes governance and compliance standards
• Support documentation and traceability for data lineage and controls
• Coordinate operational work including:
• Production support
• Incident management
• Data pipeline monitoring and remediation
• Help balance BAU operational work vs. sprint commitments
• Track operational SLAs, incidents, and root cause analysis (RCA)
• Support release coordination, patching, and change management for data platforms
• Improve operational processes through Agile practices and automation
• Act as a bridge between Data Engineering, Data Operations, Governance, Product, and Business stakeholders
• Communicate delivery status, risks, and dependencies clearly
• Support PI Planning / Quarterly Planning where applicable
• Align work intake through tools such as Rally, Jira, or Azure DevOps
Interest candidates can apply or email on veekshith@bpmlinks.com
BPMLinks
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