Key Responsibilities:

Agile Delivery & Team Enablement:

- Serve as Scrum Masterfor one or more Data & Analytics teams (data engineering, analytics, MDM, governance).
- Facilitate Agile ceremonies including Sprint Planning, Daily Standups, Sprint Reviews, Retrospectives, and Backlog Refinement.
- Ensure teams follow Agile best practices while pragmatically adapting Scrumfor data platform and analytics delivery.

Execution & Flow Management:

- Partner with Product Owners to maintain prioritized, well refined backlogs aligned to business and regulatory priorities.
- Track sprint progress, velocity, dependencies, and risks; drive predictable and transparent delivery.
- Identify and remove impediments that impact team productivity, delivery, or quality.

Stakeholder Collaboration:

- Act as a bridge between data engineers, architects, analysts, product owners, and business stakeholders.
- Support coordination across dependent teams (e.g., platform, MDM, governance, BI) to manage cross team dependencies.
- Help teams communicate progress, blockers, and outcomes clearly to leadership.

Data & Analytics Context Awareness:

- Understand key data concepts including Lakehouse architecture, ETL/ELT pipelines, data modeling, MDM, and data quality to effectively support planning and execution.
- Support delivery of initiatives aligned with data governance, security, and regulatory requirements (e.g., SEC, FINRA).

Continuous Improvement & Coaching:

- Coach teams on Agile principles, self organization,



and continuous improvement.
- Foster a culture of accountability, collaboration, and engineering excellence.
- Use data and metrics (velocity, cycle time, burn down/up) to improve team performance and delivery outcomes.

Required Qualifications:

- 7+ years of experience as aScrum Master, Agile Delivery Lead, or similar role, with at least 3+ years supporting Data, Analytics, or Engineering teams.
- Strong command of Scrumand Agile methodologies, with practical experience scaling Agile in complex environments.
- Experience supporting data engineering, analytics, BI, or platform teams (not just application development).
- Solid understanding of data delivery lifecycles, including ETL/ELT, data modeling, testing, and release management.
- Experience working with Product Owners on backlog management, story refinement, and prioritization.
- Strong facilitation, communication, and stakeholder management skills.
- Ability to identify delivery risks, manage dependencies, and drive resolution proactively.

Preferred Qualifications:

- Experience in Financial Services or Wealth Management is preferred
- Familiarity with Azure-based data platforms, Databricks, Lakehouse architectures, or MDM initiatives.
- Experience supporting teams delivering regulatory, compliance, or governance driven data products.
- Scrum Mastercertification (CSM, PSM I/II, or SAFeScrum Master).
- Exposure to Agile at scale (Secure, LeSS, Spotify model, or similar).

📌 Senior Scrum Master (Bengaluru)
🏢 Kestra
📍 Bengaluru