Release Manager A distance Temps plein

Notre client :

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.

Vos tâches :

• 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.

Expérience et compétences requises :

• 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.

Ce serait un 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.

Conditions de travail

Semaine de travail de 5 jours, journée de travail de 8 heures ;

Travail à distance.