Lead Data Engineer (Data Governance & Compliance)

Overview

Key Responsibilities:

1. 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.
• Drive root-cause analysis and remediation workflows in coordination with business data owners and stewards.
• Establish a sustainable issue management and escalation framework for recurring quality gaps.

2. Policy & Standards Development

• Support the creation and continuous improvement of Nissan’s enterprise data policies (e.g. 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.

3. Regulatory & Compliance Readiness

• Support Nissan’s implementation of EU Data Act, GDPR, and upcoming AI Act across applicable use cases (e.g. vehicle data sharing, AI model traceability).
• Liaise with Nissan’s legal, audit, and risk functions to map responsibilities and action plans.
• Assist in maintaining Nissan’s 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 architecture—ideally 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