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 organisations 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 organisations 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.

3. Release Environment Discipline (FA2)

Own the teams 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.

5. 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 teams engineering health indicators.

Govern AI tool adoption responsibly: Ensure human review of all AI-generated artefacts, champion bias awareness and data privacy compliance.

6. Team Performance, Coaching Continuous Improvement

Coach team members on agile values not just process compliance.



Embed Scrums 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 workplace 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.

Strong 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Scrum Master (Pune)
🏢 Crisil
📍 Pune