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.
