R&D Data Governance Lead (f/m/d)

Q Cells; Bitterfeld-Wolfen; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Qcells seeks an experienced R&D Data Governance Lead to establish and manage governance across global R&D environments. Collaborate with Digital Transformation, IT, security, legal and regional sites to ensure trusted, protected data for analytics and AI across R&D.

You will drive ownership, standards, quality expectations, and access principles to enable data-driven decisions and responsible AI within solar R&D programs.

Qualifikationen

• Bachelor's degree in Information Systems, Data Management, Business, Engineering, Computer Science, or related field.
• 6+ years in data governance, data management, data quality, or enterprise analytics governance.
• 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.

Aufgaben

• Lead development and implementation of R&D data governance frameworks, standards and operating practices.
• Define data ownership and decision rights across priority R&D data domains (equipment, process, material, experiment, reliability, product).
• Establish data quality expectations and embed into platform capabilities.
• Define metadata standards, naming conventions, lineage expectations, and data definitions for critical R&D datasets.
• Develop processes for access requests, usage rules, data quality issues, and governance escalations.
• Define governance expectations for AI-enabled use cases and data documentation.
• Monitor governance maturity and report risks, gaps and improvements.
• Support change management to drive adoption of data standards.
• Serve as internal governance owner for R&D data trust and AI-readiness across projects.

Kenntnisse

Data governance

Data management

Data quality

Metadata management

Access management

Stakeholder alignment

Communication

Ausbildung

Bachelor's degree in Information Systems, Data Management, Business, Engineering, Computer Science

Tools

Purview

Alation

Collibra

Jobbeschreibung

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.

Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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?

Take this opportunity to advance the future of solar power with Qcells. If you’re passionate about solar technology and eager to pioneer technological breakthroughs, we want to hear from you.Apply today and join a team that’s redefining the solar industry!

Qcells is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.