Empresa: Pantheon
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.