Posted on: 12/01/2026
Description:
Key Responsibilities :
Data Quality Management :
- Define, refine, and institutionalize enterprise-wide data quality standards (accuracy, completeness, consistency, timeliness).
- Design and roll out data quality scorecards and dashboards aligned to AMIEO business KPIs.
- Support the creation and continuous improvement of Nissans enterprise data policies (e. privacy, lifecycle management, metadata handling).
- Embed governance checkpoints and policies into digital delivery and transformation frameworks.
- Design simple playbooks, guides, and training sessions to enhance awareness and adoption of data best practices across functions.
- Collaborate with central data governance teams in Japan and other regions to ensure harmonization and avoid redundancy.
Regulatory & Compliance Readiness :
- Support Nissans implementation of EU Data Act, GDPR, and upcoming AI Act across applicable use cases (e. vehicle data sharing, AI model traceability).
- Liaise with Nissans legal, audit, and risk functions to map responsibilities and action plans.
- Assist in maintaining Nissans compliance posture- create documentation, audit support, and breach preparedness materials.
- Help define compliant data-sharing processes with third parties, partners, and regulators, especially in relation to vehicle, user, and telemetry data.
Key Qualifications :
- 6-10 years of experience in data governance, regulatory compliance, or data quality roles, ideally within automotive, manufacturing, or tech sectors.
- Familiarity with frameworks such as DAMA-DMBOK, ISO 8000, EU Data Act, GDPR, and AI governance frameworks.
- Good understanding of modern data architectureideally AWS, Snowflake, Microsoft Purview/Fabric.
- Proven track record of working in cross-functional environments with business, legal, and data teams.
- Comfortable operating in lean, high-accountability roles with limited external dependencies.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1600331