
Scrum Master
2 days 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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