Release Lead

Job Description:

Job Description (DevOps + AI Ops + Release Management)

Key Responsibilities

• Lead end‑to‑end Production deployments for Global Business Platform (GBP) applications by effectively coordinating cross‑functional DevOps, engineering, and platform teams.

• Own the full release lifecycle, ensuring governance and control across all SDLC stages, including approval workflows, quality gates, and release readiness in alignment with Platform Owners.

• Develop core release documentation such as Plan on a Page (POAP), Cutover Plan, Release Strategy, and Communication Plans for transformation, migration, and modernization programs.

• Drive standardization, automation, and continuous improvement of release processes across all Business Platforms using DevOps and AI‑Ops practices.

• Maintain an enterprise-level release calendar and proactively assess risk, dependencies, and change impacts for all planned releases.

• Facilitate implementation planning, technical walkthroughs, and deployment sequencing with all stakeholders, ensuring a clear understanding of the execution plan.

• Provide real-time communication on deployment progress, risks, rollbacks, and completion status to implementation teams and leadership.

• Manage regression or rollback procedures for any deployment issues, ensuring rapid restoration of BAU operations with minimal disruption.

• Support and facilitate release‑related risk workshops; document and mitigate risks, assumptions, issues, and decisions.

• Ensure post‑release reviews, lessons learned, and CSIP (Continuous Service Improvement Plans) are captured and implemented to avoid repeated issues.

• Champion Agile, DevOps, and AI‑Ops capabilities across GBP to improve deployment velocity, quality, and operational efficiency.

• Build and maintain KPI dashboards for Release Management using tools such as Azure DevOps, Jira, or AI‑powered insights to demonstrate value and drive data‑based decision‑making.

Professional Skills & Knowledge

• Graduate or postgraduate with 7–12 years of hands‑on experience in Release Management, Build & Deployment, DevOps, and AI‑Ops implementation.

• Strong technical expertise across SDLC, Agile methodologies, and release quality assurance with practical, hands‑on deployment experience (not just coordination).

• Proven experience in designing and implementing CI/CD pipelines and automating end‑to‑end release workflows using modern DevOps tooling.

• Demonstrated expertise with:

  • GitHub, GitHub Copilot and AI‑assisted development workflows

  • Kubernetes, Docker, container orchestration, and automated deployments

  • AI/ML‑driven DevOps and monitoring tools (AIOps) for anomaly detection, predictive alerts, and automated resolution

  • Setting up CI/CD Pipeline, Branching, Version controls, Code Packaging and Promotions.

• Experience with release management across enterprise platforms such as Dynamics 365, Salesforce, Workday, Workfront, or similar environments.

• Strong analytical problem‑solving skills with the ability to assess complex issues, prioritize effectively, and make informed decisions quickly.

• Excellent organizational and project‑management capabilities with the ability to manage multiple parallel releases.

• Strong communication and stakeholder management skills, enabling effective collaboration with technical and non‑technical teams.

• A proactive, continuous‑improvement mindset with a passion for automation, efficiency, and delivering high‑quality release outcomes.

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