Data Governance Specialist

Hashlist; Torino; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Hashlist is seeking a Data Governance Specialist to lead hands-on governance in a senior team, embedding governance into tools, processes, and daily practices that keep connected‑vehicle data compliant, secure, and traceable.

The role is hybrid with a long-term assignment through Hashlist, focusing on implementing governance policies, onboarding data producers/consumers, and collaborating with Legal, Compliance and Privacy teams to translate regulations into actionable rules.

Qualifications

• 5 to 8 years of experience in data governance, data management, or related fields.
• Hands-on experience implementing governance in large, complex organizations.
• Familiarity with data catalogue tools like Collibra or Alation.
• Strong knowledge of GDPR, Data Act, and data compliance requirements.
• Proven ability to translate policy into operational practice and drive adoption.

Responsibilities

• Implement and operationalize governance policies, standards, and procedures across data domains.
• Onboard data producers and consumers to governance processes and workflows.
• Maintain the data governance framework in the catalogue tool and policies.
• Support deployment of data stewardship model and track coverage.
• Coordinate with Legal, Compliance, and Privacy teams to translate regulations into rules.
• Monitor KPIs: stewardship coverage, use-case registrations, PDT compliance.
• Contribute to Data Dictionary and Data Sharing Playbook initiatives.
• Act as governance advisor for operational teams on data usage and compliance.

Skills

Data governance

Stakeholder management

Policy translation

Agile experience

Data compliance

Tools

Collibra

Alation

Job description

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