הלקוח שלנו:
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.
המשימות שלך:
- 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.
ניסיון ומיומנויות נדרשים:
- 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.
יתרון:
- 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.
תנאי עבודה
שבוע עבודה בן 5 ימים, יום עבודה בן 8 שעות;
עבודה מרחוק.