Scrum Master – Enterprise Data & AI Solutions

About the Opportunity

The Enterprise Data & AI Solutions – Shared Services Program is looking for a Scrum Master Contractor based in India to support two global data teams: Data Quality and Data Catalog & Discovery.

This professional will play a key role in facilitating Agile practices, coordinating cross-functional and geographically distributed teams, and ensuring effective delivery across multiple initiatives within the data domain.

Responsibilities

• Act as Scrum Master for both the Data Quality and Data Catalog & Discovery teams.
• Facilitate Agile ceremonies, including sprint planning, daily stand-ups, retrospectives, backlog refinement, and sprint reviews.
• Support the teams in adopting and continuously improving Agile and SAFe practices.
• Coordinate work across globally distributed teams located in India, Brazil, and Hungary.
• Track and manage team progress, sprint metrics, risks, impediments, and dependencies using Azure DevOps (ADO).
• Collaborate with Product Owners, Data Engineers, and stakeholders to ensure alignment on priorities and delivery goals.
• Foster a culture of transparency, accountability, continuous improvement, and effective communication.
• Support capacity planning, release planning, and overall team coordination.
• Team Structure
• The selected professional will support two teams simultaneously.

Required Qualifications

• Proven experience as a Scrum Master supporting Agile teams.
• Strong understanding of Scrum principles and Agile methodologies.
• Experience working within SAFe environments or hybrid Agile frameworks.
• Hands-on experience with Azure DevOps (ADO), including:
• Boards
• Backlogs
• Sprint Management
• Metrics and Progress Tracking
• Excellent communication, facilitation, and stakeholder management skills.
• Experience coordinating virtual and globally distributed teams.
• Strong organizational and problem-solving skills.

Nice to Have

• Experience with Data Quality, Data Governance, Data Catalog, Data Management, or related data initiatives.
• Experience supporting Data Engineering or Analytics teams.