Job Title

We are looking for an experienced Scrum Master with a strong background in leading Agile teams within AI-driven projects, and deep domain knowledge in BFSI (Banking, Financial Services, and Insurance)—especially Wealth and Asset Management and broader Finance operations.Key Responsibilities:Lead and facilitate Scrum ceremonies: sprint planning, daily stand-ups, sprint reviews, retrospectives, and backlog grooming.Guide Agile teams working on AI/ML model development, data platform integration, and automation initiatives in finance.Act as a bridge between technical teams (engineers, architects, data scientists) and business stakeholders to maintain alignment.Track team performance and delivery timelines through JIRA, Azure DevOps, or similar tools.Identify and remove project impediments, resolve conflicts, and coach the team on Agile best practices.Collaborate with the Product Owner to ensure backlog items are well defined and prioritized based on value delivery.Facilitate PI planning, sprint metrics tracking, and delivery forecasting in a SAFe or hybrid Agile environment.Required Qualifications:7+ years of total experience, including 5+ years as a Scrum Master in Agile/Scrum environments.Proven experience managing AI/ML-related projects involving model training, validation, and deployment.Strong domain knowledge of BFSI, especially Wealth and Asset Management, Retail Banking, or Investment Platforms.Hands-on experience working with cross-functional Agile teams, preferably in product-based or financial enterprise environments.Strong knowledge of Agile frameworks (Scrum, SAFe), Agile metrics, and Agile maturity assessments.Experience with tools like JIRA, Confluence, Azure DevOps, or similar.Solid technical understanding of AI workflows, data platforms, APIs, and cloud-based environments (AWS, GCP, or Azure).Excellent communication and stakeholder management skills.Scrum Master Certification (CSM, PSM I/II) preferred.Prior experience in AI risk, governance, or model compliance is a strong plus.Preferred Skills:Experience supporting multiple agile squads across geographies.Strong familiarity with regulatory environments (e.g., SEC, FINRA, GDPR) as applied to AI/ML projects.Experience working with data teams, including MLOps or analytics teams in BFSI contexts.