Head of Data Management Office

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Job details

Company overview

The company is an energy technology provider focused on renewable energy and electricity retail services. Through solar power development, battery solutions, and electricity supply services, it supports the transition toward a more sustainable energy future.

Responsibilities

■Responsibilities

• Data & AI Strategy and Vision
  • Define and execute the company\-wide data and AI strategy aligned with business objectives.
  • Develop a roadmap to maximize enterprise data value and enable new business opportunities.
  • Advise executive leadership on data\-driven decision\-making and AI initiatives.
  • Drive revenue growth through data products, analytics, and AI applications.
• Data & AI Governance
  • Establish and manage the enterprise data governance framework.
  • Define data ownership, quality standards, policies, and controls.
  • Ensure compliance with applicable data protection and privacy regulations.
  • Promote responsible AI, data ethics, privacy, and security practices.
  • Enhance data and AI literacy across the organization.
• Data Platform Leadership
  • Lead the One Data Platform initiative for enterprise\-wide data integration.
  • Oversee data architecture, pipelines, metadata management, and platform standards.
  • Ensure platform scalability, reliability, security, and cost efficiency.
  • Drive adoption of DataOps, MLOps, AIOps, BI, self\-service analytics, and LLM\-based solutions.
• Organization & Talent Management
  • Lead the Data Management Office (DMO) and related data governance, quality, analytics, and enablement functions.
  • Develop internal data capabilities and stewardship programs.
  • Manage external partners and facilitate governance committees.
• Business Transformation & Data Utilization
  • Partner with business leaders to embed data\-driven decision\-making.
  • Promote analytics, AI/ML, and generative AI adoption to improve business performance.
  • Establish KPI frameworks, dashboards, and monitoring mechanisms to support strategic and operational management.

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Requirements

■Must

• Experience developing and executing data strategy aligned with corporate strategy
• Advanced expertise and hands-on experience in building and operating data platforms (DWH, Data Lake, Cloud, ETL)
• Practical experience in AI, BI, and Data Analytics with demonstrated business impact
• Experience in Data Governance, AI Governance, Security, and Privacy Management
• Experience leading cross-functional projects
• Business-level English communication skills

Salary

11 - 18.2 million yen

Location

Tokyo