Bilingual Data Governance Lead

• Develop and drive company-wide data governance policies, roadmaps, and operating models
• Define roles and responsibilities for data owners, data stewards, and other key stakeholders
• Design decision-making and governance processes across multiple business units and group companies
• Establish frameworks balancing effective data utilization with governance and risk management
• Identify opportunities to leverage data based on business needs and support implementation
• Promote data standardization, metadata management, data catalogs, and master data management
• Define data quality metrics and establish monitoring, visualization, and continuous improvement processes
• Improve data discoverability, accessibility, and usability across the organization
• Establish policies for data quality, access control, privacy, and accountability for AI and Generative AI use cases
• Design governance processes that enable innovation while managing data and AI-related risks
• Collaborate with business and technical teams to connect emerging technologies and AI use cases with business value
• Develop data usage, consent management, and data lifecycle policies in accordance with applicable privacy regulations
• Collaborate with legal, security, and business teams on data-related risk assessments and mitigation
• Support audits and develop internal guidelines and governance standards
• Drive cross-functional initiatives involving management, business, planning, engineering, legal, and security stakeholders
• Promote education and awareness around data governance and responsible data utilization
• Help establish a company-wide data-driven culture
• Identify operational challenges and continuously improve governance processes

Requirements

• Professional experience in Data Governance, Data Management, or Data Platforms
• Experience planning and driving cross-functional projects involving both business and technical stakeholders
• Strong stakeholder management, communication, and coordination skills
• Knowledge of data quality, data standardization, metadata management, or related data management practices
• Ability to work proactively, identify organizational challenges, and drive initiatives independently
• Japanese: business level
• Knowledge or practical experience with DAMA-DMBOK, CDMP, or related data management frameworks
• Experience establishing or operating data owner / data steward models or data governance organizations
• Knowledge of privacy regulations, consent management, information security, and data protection
• Experience working with healthcare data or managing data across multiple services or group companies
• Experience implementing or operating data catalogs, Master Data Management (MDM), or data quality management tools
• Knowledge or experience with Microsoft Fabric, Azure, Databricks, or similar modern data platforms
• Experience designing or operating AI / Generative AI governance frameworks
• Experience working in English in a professional environment

Core Competencies

Demonstrates expertise in Data Governance and Data Management, with a strong focus on establishing frameworks for data quality, privacy regulations, and AI governance. Proven ability to drive cross-functional initiatives and promote a data-driven culture across organizations.

Highest-signal resume keywords

• Data Governance
• Data Management
• Stakeholder Management
• Data Quality Management
• Privacy Regulations

ATS Optimization Keywords

Hard Skills

• Data Standardization
• Metadata Management
• Data Catalogs
• Master Data Management
• Data Quality Metrics
• Data Lifecycle Policies
• AI Governance Frameworks
• Cross-Functional Project Management
• DAMA-DMBOK
• CDMP

Soft Skills

• Communication Skills
• Coordination Skills
• Proactive Problem Solving

Industry Keywords

• Data Governance Policies
• Data Steward Models
• Information Security
• Data Protection
• Healthcare Data

Tools & Technologies

• Microsoft Fabric
• Azure
• Databricks