Scrum Master - AI & Data Programs

About the Role

Key Responsibilities

• Lead Scrum ceremonies including sprint planning, daily stand-ups, sprint reviews, retrospectives, and release planning.
• Coach teams on Agile, Scrum, Kanban, and continuous improvement practices.
• Remove impediments, manage delivery risks, and enable teams to achieve sprint and release objectives.
• Track and communicate velocity, sprint progress, dependencies, risks, and delivery metrics.

• Partner with Product Owners, Data Scientists, AI/ML Engineers, Data Engineers, and business stakeholders to drive successful delivery.
• Support planning and execution across the AI/ML lifecycle, including model development, validation, deployment, and monitoring.
• Coordinate dependencies across data, engineering, product, cloud, and AI infrastructure teams.
• Facilitate delivery of initiatives involving AI/ML, Generative AI, Data Engineering, Analytics, and cloud platforms.

• Facilitate effective communication between technical and non-technical stakeholders.
• Drive discussions around priorities, backlog readiness, scope, dependencies, and release planning.
• Provide transparent reporting through dashboards, status updates, Agile metrics, and risk tracking.
• Build alignment across distributed and cross-functional teams.

• Identify opportunities to improve team productivity, delivery predictability, and quality.
• Establish and monitor Agile delivery metrics and promote accountability.
• Support Agile transformation initiatives and adoption of best practices across teams.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 8+ years of overall IT experience, including 4+ years as a Scrum Master.
• Proven experience delivering AI/ML, Generative AI, Data Engineering, Analytics, or Data & AI transformation projects.
• Strong understanding of Agile, Scrum, Kanban, and SAFe methodologies.
• Experience working with distributed, cross-functional, and technology-driven teams.
• Strong facilitation, communication, conflict resolution, problem-solving, and stakeholder management skills.

Preferred Qualifications

• CSM, PSM, SAFe Scrum Master, or equivalent Agile certification.
• Exposure to Azure AI, OpenAI, Databricks, Snowflake, AWS AI/ML, or Google Vertex AI.
• Understanding of MLOps, DataOps, model lifecycle management, and AI governance.
• Hands-on experience with Jira, Azure DevOps, Confluence, and Agile reporting tools.