Data Governance Specialist

We are looking for a

Data Governance Specialist . This is a hands‑on implementation role within a small, senior data governance team at a major OEM, embedding governance into the tools, processes, and daily practices that keep connected‑vehicle data compliant, secure, and traceable.

Working model: Hybrid Employment type: Long term assignment through Hashlist

Responsibilities:

Implement and operationalize data governance policies, standards, and procedures across data domains

Onboard data producers and consumers to governance processes - use case declaration (CbD workflow), data stewardship model, metadata standards

Maintain and evolve the data governance framework in Collibra (or equivalent catalogue tool) - business glossary, data ownership assignments, policy documentation

Support deployment of the data stewardship model - identify domain data owners, run onboarding sessions, track stewardship coverage

Coordinate with Legal & Compliance and Privacy/DPO teams to translate regulatory requirements (GDPR, Data Act, AI Act) into actionable governance rules

Monitor governance KPIs - stewardship coverage, use case registration rate, PDT compliance rate and report on progress

Contribute to the Data Dictionary and Data Sharing Playbook initiatives as a key implementer

Act as a governance advisor and point of contact for operational teams needing guidance on data usage, classification, or compliance

Qualifications:

5 to 8 years of experience in data governance, data management, or a closely related field

Hands‑on experience implementing data governance frameworks in a large, complex organization

Familiarity with data catalogue tools - Collibra, Alation, or equivalent

Good working knowledge of GDPR, Data Act, and data compliance requirements and their practical implications

Strong ability to translate policy into operational practice - bridging strategy and day‑to‑day execution

Excellent stakeholder management and communication skills - ability to drive adoption without authority

Experience working in agile, cross‑functional environments

Nice to have:

Databricks or cloud data platforms (Azure, AWS, GCP), automotive/connected vehicle/IoT data experience, knowledge of data stewardship models, and understanding of metadata standards

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