Scrum Master

Overview

The IT Scrum Master in the Data & AI Solutions CoE provides delivery leadership and Agile coaching to one or more data, analytics, and AI-focused technology teams, ensuring predictable delivery of data products and AI solutions.

What you'll do

• Serve as Scrum Master for Data & AI Agile teams, providing leadership, facilitation, and coaching to ensure successful delivery of data products and AI solutions.
• Facilitate all Scrum ceremonies, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives, tailored to data and analytics workflows.
• Coach teams, Product Owners, and stakeholders on Agile principles, Scrum practices, and continuous improvement within a data-driven and AI-centric environment.
• Partner with Product Owners, Data Scientists, and Data Engineers to support backlog prioritization, refinement, and clarity of user stories, including data requirements, model objectives, and acceptance criteria.
• Identify, track, and proactively remove impediments related to data dependencies, data quality issues, infrastructure constraints, and model lifecycle challenges.
• Promote transparency by tracking and communicating Agile metrics such as velocity, model delivery cycles, data pipeline readiness, and sprint progress.
• Support Agile planning and execution while ensuring alignment with enterprise data governance, AI standards, and delivery frameworks.
• Establish and maintain effective communication plans, ensuring timely updates to stakeholders on data initiatives, analytics outcomes, and AI model progress.
• Facilitate cross-team collaboration across data engineering, data science, analytics, and platform teams to manage dependencies and shared risks.
• Contribute to the development and adoption of Agile best practices specifically tailored for Data & AI delivery within the CoE.
• Apply sound judgment to resolve complex delivery challenges involving data integration, model development, and analytical workflows.
• Mentor and support less-experienced Scrum Masters or team members within the Data & AI CoE.
• Escalate risks, impediments, or delivery concerns related to data availability, model performance, or platform constraints to leadership when necessary.
• Ensure compliance with the Code of Business Conduct, data governance policies, AI ethics guidelines, and all applicable company procedures and regulations.
• Assist with additional Data & AI initiatives and CoE-related duties as assigned.

What you'll need

• Bachelor's Degree required.
• 5–8 years of related IT experience, including hands-on experience supporting Agile teams in data, analytics, or AI/ML environments.
• Certified ScrumMaster (CSM) or equivalent Agile certification required or strongly preferred.
• Proven knowledge of Agile frameworks, Scrum practices, and SDLC methodologies.
• Strong organizational and facilitation skills with the ability to manage multiple data initiatives and priorities.
• Demonstrated ability to work creatively, analytically, and independently in a fast-paced, data-driven problem-solving environment.
• Strong leadership and interpersonal skills with the ability to collaborate effectively across data engineers, data scientists, business stakeholders, and leadership teams.
• Effective conflict resolution and problem-solving capabilities, especially in complex data environments.
• Excellent verbal, written, and communication skills.
• Ability to drive Agile maturity and sustain change within Data & AI transformation initiatives.

Nice to have

• Advanced Degree (Data Science, Analytics, AI, or related field).
• Exposure to DataOps, MLOps, or Analytics delivery models.
• Experience working within a Data & AI Center of Excellence, analytics practice, or enterprise data platform environment.
• Familiarity with data engineering concepts, machine learning lifecycle, analytics platforms, and cloud data ecosystems.
• Strong business acumen; understanding of how data and AI drive business value.
• Experience in regulated industries (e.g., healthcare, financial services) and familiarity with data compliance standards.

Details

• Location: Bengaluru, KA.