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# Data & Analytics Manager Global Operations

- **Company:** tesa SE
- **Location:** Norderstedt, Germany
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Data Architecture, Data Governance, Data Infrastructure, Decision Support Systems, Metadata, Enterprise Data Management, IT Architecture, Data Strategy, Data Analytics, Data Management
- **Published:** June 12, 2026
- **Apply:** https://www.tesa.com/en/about-tesa/career/current-vacancies/data-and-analytics-manager-global-operations-12612824.html

## About the Role

* Master's Degree in Engineering or related degrees
 * Broad knowledge in Operations & Supply Chain as well as Industry 4.0
 * Leadership, Project & Change Management skills

Relevant experience

 * 3-5 years of work experience in Operations
 * Track record of digital projects in the area of manufacturing as Project Manager
 * Solid understanding of manufacturing and shop-floor processes
 * Expertise in requirements engineering with high-level understanding of IT architectures
 * Experience in managing, leading & motivating project teams, ideally in matrix structures
 * Working in international and cross-functional teams (IT, Supply Chain, Operations, HR)
 * Knowledge of agile project methodologies; experience as product owner is a plus

Personal characteristics & behavior

 * Passion for digitalization on the shop floor, excitement to identify and learn new technologies
 * Strong analytical skills, ability to synthesize data into meaningful conclusions
 * Entrepreneurial mind, enthusiastic personality, and communication skills
 * Willingness to travel; fluent in German and English

## Description

* Drive Global Operations' data strategy and ensure interoperability with tesa-wide data initiatives
 * Operate the governance framework: data ownership, quality standards, metadata, FAIR principles
 * Lead cross-functional alignment on data definitions, glossaries, and data standards
 * Main stakeholder alignment across corporate data governance, IT, plants, clusters, and central functions

 2. Data Analytics, Data Infrastructure & Self-Service
 * Own the strategic business direction of Global Operations' data analytics platform: data architecture, evolution, and global rollout
 * Develop re-usable, standardized data products as a foundation for analytics, decision support, and AI across Global Operations' platforms & systems
 * Build self-service capabilities, enabling clusters and plants to derive insights independently
 * Act as the primary Global Operations interface to IT on analytics platform and architecture decisions - bridge Global Operations requirements into central IT roadmaps

 3. AI & Enablement
 * Align AI Ambassador approach with Global Operations requirements; hub-and-spoke contact to the global AI organization
 * Align global AI strategy with Global Operations capabilities; translate targets into realistic, prioritized initiatives
 * Ensure data foundation and integration landscape enable increasingly automated decision-making at scale


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