Release Lead

Job Description:

Job Description (DevOps AI Ops Release Management)

Key Responsibilities

• Lead endtoend Production deployments for Global Business Platform (GBP) applications by effectively coordinating crossfunctional 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 AIOps 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 releaserelated risk workshops; document and mitigate risks assumptions issues and decisions.

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

• Champion Agile DevOps and AIOps 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 AIpowered insights to demonstrate value and drive databased decisionmaking.

Professional Skills & Knowledge

• Graduate or postgraduate with 712 years of handson experience in Release Management Build & Deployment DevOps and AIOps implementation.

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

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

• Demonstrated expertise with:

  • GitHub GitHub Copilot and AIassisted development workflows

  • Kubernetes Docker container orchestration and automated deployments

  • AI/MLdriven 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 problemsolving skills with the ability to assess complex issues prioritize effectively and make informed decisions quickly.

• Excellent organizational and projectmanagement capabilities with the ability to manage multiple parallel releases.

• Strong communication and stakeholder management skills enabling effective collaboration with technical and nontechnical teams.

• A proactive continuousimprovement mindset with a passion for automation efficiency and delivering highquality release outcomes.

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