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# R&D Data Governance Lead

- **Company:** Hanwha Q CELLS GmbH
- **Location:** Bitterfeld-Wolfen, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Systems, Data Governance, Data Infrastructure, Identity and Access Management, Metadata, Meta-Data Management, Metadata Standards, Information Technology, Collibra, Data Management
- **Published:** August 4, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=5bae108f21fbf403

## About the Role

* Bachelor's degree in Information Systems, Data Management, Business, Engineering, Computer Science, or a related field.
 * 6+ years of experience in data governance, data management, data quality, or enterprise analytics governance, including demonstrated ownership of a governance or data management initiative from design through adoption.
 * Strong understanding of data ownership, metadata, data quality, lineage, and access management.
 * Experience defining governance processes, data standards, and accountability models across technical and business stakeholders.
 * Strong communication, facilitation, and stakeholder alignment skills., * Experience in R&D, manufacturing, solar, semiconductor, materials science, or industrial automation environments.
 * Familiarity with data catalog, metadata management, or data quality tooling (e.g., Purview, Alation, Collibra, or similar).
 * Experience working alongside data platform, IT, security, or legal teams in a matrix organization.
 * Exposure to AI/ML, analytics governance, or digital transformation programs.

Ready to Shape the Future of Solar Energy?

## Description

Qcells is seeking an R&D Data Governance Lead to establish and manage data governance practices across global R&D environments. The role addresses fragmented data practices by defining clear ownership, standards, quality expectations, and access principles - enabling trusted analytics and AI capabilities across R&D.

You will work with global R&D teams, Digital Transformation, IT, security, legal, and regional site teams to ensure R&D data is trusted, protected, and fit for use., * Lead development and implementation of R&D data governance frameworks, standards, and operating practices.

 * Define data ownership, stewardship, and decision rights across priority R&D data domains (equipment, process, material, experiment, reliability, and product data).
 * Establish data quality expectations - completeness, accuracy, consistency, traceability - and work with technical teams to embed these into platform capabilities.
 * Define metadata standards, naming conventions, lineage expectations, and data definitions for critical R&D datasets.
 * Develop processes for managing access requests, usage rules, data quality issues, and governance escalations.
 * Define governance expectations for AI-enabled use cases, including source data documentation, access controls, and appropriate use.
 * Monitor governance maturity and provide visibility into risks, gaps, and improvement priorities.
 * Support change management to help R&D teams understand and adopt data standards and governance expectations.
 * Serve as the internal governance owner for R&D data trust and AI-readiness beyond individual projects or vendor engagements.