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Описание: |
Our Customer:
A global enterprise organization building modern data, analytics, and AI solutions within a Microsoft-first ecosystem. The company focuses on scalable and secure enterprise platforms that support business intelligence and digital transformation.
Your Tasks:
* Develop and manage release plans across multiple PODs, including release deliverables, features, timelines, and scope.
* Support Teva-related processes covering data availability, architecture approvals, risk management, and compliance reviews.
* Coordinate dependency planning and scope alignment across multiple PODs.
* Identify and support the resolution of dependencies and conflicts between teams and PODs.
* Support prioritization and approval processes related to environment setup, data availability, and other release-related activities.
* Identify, assess, and support mitigation of risks associated with releases.
* Participate in Go/No-Go decisions and coordinate release-related communication from the Teva side.
* Coordinate release activities across cross-functional teams and stakeholders to support successful release execution.
Required Experience and Skills:
* 5+ years of experience in Release Management, Release Engineering, Release Coordination, RTE, or a similar role.
* Strong understanding of CI/CD pipelines.
* Strong understanding of DevOps practices.
* Experience with release orchestration and automation tools.
* Experience with version control.
* Experience with configuration management.
* Good knowledge of Agile frameworks.
* Good knowledge of Scrum.
* Good knowledge of ITIL frameworks.
* Experience coordinating cross-functional teams.
* Experience managing complex dependencies across multiple teams or PODs.
* Proven experience in risk assessment within release processes.
* Experience with risk mitigation.
* Strong problem-solving skills.
* Experience participating in Go/No-Go decisions.
* Experience coordinating release approval processes.
* Strong communication skills.
* Strong stakeholder coordination skills.
* Knowledge and understanding of Data projects.
* Knowledge and understanding of AI projects.
Would Be a Plus:
* Experience with MLOps / DataOps tools and environments, such as MLflow, Airflow, or similar technologies.
* Experience coordinating releases for Data or AI projects.
* Experience working in a highly regulated enterprise environment.
* Experience with large-scale Agile environments involving multiple teams or PODs.
* Experience with SAFe / Release Train Engineer (RTE) practices.
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