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CEVA Animal Health is a global leader in animal health, committed to ensuring the highest possible level of care and well-being for farm animals, companion animals, and wildlife. Our "Together, Beyond Animal Health" vision emphasizes the interlinkage of human, animal, and environmental health.
Job DescriptionWe are seeking a highly skilled Data Service Delivery Manager to join our team. As a key member of our global IS leadership team, you will be responsible for building and managing a high-performing global data team, driving service performance, and delivering data solutions that meet business needs.
Main Responsibilities- Team Management
- Build a high-performing global data team, composed of Data Product Owners, Data Engineers, Data Architects, and Data Visualization engineers.
- Manage team capacity and skills to meet short and medium-term needs of the data roadmap.
- Portfolio and Project Management
- Manage data products' portfolio and delivery roadmap.
- Build business cases and project Return on Investment assumptions with product teams.
- Apply agile project management methodology and ensure governance structure, stakeholder involvement, and communication.
- Delivery, Service Performance, and Vendor Management
- Manage an international Data Factory.
- Commit to scope, budget, resources, and timeline for data projects.
- Define SLAs and performance indicators for main applications with business teams.
- Strategy, Governance, and Relationship Management
- Define global Enterprise Architecture standards for Data landscape and align data solutions to these standards.
- Lead the Data landscape architecture roadmap to ensure consistency and limit wasteful initiatives.
- Master or Engineering degree in a relevant field (e.g., Computer Science, Information Systems) or equivalent practical experience.
- Proven track record of at least 3 years in a service delivery leadership role, preferably with Data Factory.
- Demonstrated ability to drive service performance and customer satisfaction through SLAs and performance indicators.
- Solid expertise with data landscape technology such as Data Bricks, GCP, Power BI, Tableau CRM Analytics, Python.
- Proficiency in data analysis and reporting to drive data-driven decisions and measure service performance.
- Strong knowledge of agile project management / development / CI-CD methodologies and frameworks.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders.
- Strong level of proficiency in English, as it involves frequent interaction with English-speaking colleagues and clients.
