Scrum Master Department None The Scrum Master for AI-Enabled Product Delivery is accountable for the end-to-end execution of the Product Development Lifecycle (PDLC) in an environment where Artificial Intelligence is embedded at every stage. This role is directly aligned to the organisation's 2026 Technology Goals — spanning Quality Engineering & Test Automation, Release & Environment Discipline, and Incident & Reliability Management — and is responsible for ensuring those goals are achieved through disciplined agile delivery, AI-augmented tooling, and unwavering team accountability.

The Scrum Master owns delivery outcomes: on time, on scope, on quality. They are the single accountable leader who bridges agile process, engineering rigour, AI capability, and business trust Key Responsibilities 1.

Delivery

Ownership & Accountability ▸ Own sprint commitment end-to-end: track burn-down daily, identify deviation early, and drive corrective action before the sprint ends — not after. ▸ Maintain a rolling 3-sprint delivery forecast with confidence scores published to stakeholders at every sprint review. ▸ Own the impediment log with SLAs: P1 blockers ≤24 hours, P2 ≤48 hours, P3 ≤5 days. Escalate rapidly; never let blockers sit. ▸ Ensure Definition of Readiness (DOR) is met for each sprint by working with PO/BA. ▸ Own the Definition of Done — ensure it incorporates the organisation's 2026 standard: peer review, automated test evidence, parity validation, change ticket, and rollback plan. ▸ Protect team capacity from unplanned work; maintain transparently with the Product Owner and stakeholders. ▸ Ensure every production release follows the Release Calendar, carries a change ticket and rollback plan, and has Business sign-off before deployment begins. 2.

Quality

Engineering & Definition of Done (FA1) ▸ Enforce the redefined Definition of Done in every sprint — DoD is non-negotiable ▸ Drive PR review compliance: 2-reviewer rule enforced for high-risk changes; PR rejection log reviewed monthly with tech leads. ▸ Track defect leakage rate as a first-class sprint metric. Own fortnightly trend reviews with QA; report monthly to Business. ▸ Ensure no story is released without automated test suite; manual QA only via documented exception with named sign-off.

- Release & Environment Discipline (FA2)



▸ Own the team's release calendar adherence: ≥90% of releases within agreed windows; all exceptions documented with named Business approval. ▸ Maintain UAT/QA/Production parity matrix; ensure undocumented environment differences as added as defects in the backlog. ▸ Ensure every production deployment has a change ticket created before work begins, a plain-language release summary, and a tested rollback plan. 4.

Incident

Management & Operational Reliability (FA3) ▸ Ensure 100% of production incidents are logged in the system of record with complete mandatory fields — impact, timeline, detection method, and Business-confirmed impact statement. ▸ Enforce RCA SLAs: Sev-1 draft within 5 days / final within 10 days; Sev-2 draft within 10 days / final within 20 days. ▸ Ensure all corrective actions are tracked with named owners and due dates; overdue items escalated to monthly reliability review. ▸ Auto-flag same-root-cause repeat incidents within 60 days; escalate to executive review with a revised corrective action plan.

- AI-Augmented Agile Facilitation ▸ Facilitate all Scrum ceremonies (PI Planning ,Sprint Planning, Daily, Review, Retrospective, Refinement) with AI-generated pre-reads, velocity benchmarks, and risk summaries. ▸ Facilitate all Scrum ceremonies (PI Planning ,Sprint Planning, Daily, Review, Retrospective, Refinement) with AI-generated pre-reads, velocity benchmarks, and risk summaries. ▸ Leverage AI retrospective platforms to identify recurring friction patterns across sprints and drive systemic, evidence-based improvement. ▸ Monitor DORA metrics (Deployment Frequency, Change Lead Time, Change Fail Rate, Recovery Time) alongside Flow Metrics (Flow Time, Flow Load, Flow Efficiency) as the team's engineering health indicators. ▸ Govern AI tool adoption responsibly: Ensure human review of all AI-generated artefacts, champion bias awareness and data privacy compliance.
- Team Performance,



Coaching & Continuous Improvement ▸ Coach team members on agile values — not just process compliance.

Embed

Scrum's five values (Commitment, Courage, Focus, Openness, Respect) into team culture. ▸ Drive quarter-on-quarter velocity improvement using AI analytics; target ≥5% QoQ improvement in delivery throughput. ▸ Monitor team health and psychological safety via AI-sentiment tools; intervene proactively on burnout and disengagement signals.

Qualifications &

Experience Essential ▸ 5+ years as a Scrum Master or Agile Delivery Lead in a software product environment with direct delivery accountability. ▸ Proven track record of owning end-to-end product releases: on time, on scope, on quality — not just facilitating the process. ▸ Hands-on experience with Definition of Done implementation, PR governance, and quality gate enforcement in ADO or Jira. ▸ Demonstrated experience driving defect leakage reduction, automated testing adoption, and release discipline across teams. ▸ Familiarity with incident management, RCA processes, and operational reliability frameworks (ITIL or equivalent). ▸ Proficiency with delivery platforms: Jira, Azure DevOps, Confluence, or equivalent — including workflow configuration. ▸ Robust data literacy: DORA metrics, Flow Metrics, velocity trends, burn-down analysis, and AI analytics dashboards. ▸ Hands-on experience with AI-assisted delivery tools (e.g., GitHub Copilot, Jira AI, or equivalent). ▸ Excellent stakeholder communication — able to present delivery health in plain language to non-technical Business audiences. Preferred / Advantageous ▸ CSM, A-CSM, CSP-SM, or SAFe Scrum Master (SSM) certification. ▸ Experience with DORA metrics implementation and DORA Elite performance band targets. ▸ Background in QA, DevOps, or engineering — providing genuine empathy for technical delivery challenges and quality practices. ▸ Familiarity with CI/CD pipeline governance, automated testing frameworks, and DevSecOps practices. ▸ Knowledge of AI governance, responsible AI principles, and digital ethics frameworks. ▸ Exposure to regulated or audit-driven environments where evidence-based delivery is mandatory. Open Positions 1 Mandatory Skills Agile Scrum Master, Agile Education Qualification Graduate Experience 5 to 9 years

📌 Scrum Master for AI-Enabled Product Delivery (Pune)
🏢 Crisil
📍 Pune