
Scrum Master
3 weeks ago
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.
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