Chief Data Officer

必須

• 【Strategy】Experience in developing and executing data strategy aligned with corporate strategy.
• 【Technical Expertise 1】Advanced expertise and hands-on experience in building and operating data platforms (DWH, data lake, cloud environments, ETL).
• 【Technical Expertise 2】Practical experience in AI, BI, and data analytics technologies with demonstrated business impact.
• 【Governance】Deep knowledge and practical experience in data governance, AI governance, security, and privacy management.
• 【Leadership】Proven ability to lead cross-organizational projects.
• 【Communication】Excellent communication skills with executives, business units, and technical teams.
• Business-level English communication skills.

歓迎

• Experience as CDO or Head of Data in global or technology companies.
• Experience in generative AI, LLMs, or data mining research/application.
• Experience with cloud platforms (AWS, GCP, Azure).
• Experience reporting to executives in English and collaborating with international partners.
• Experience utilizing data in renewable energy or social infrastructure domains.
• Japanese conversational skills.

求める人物像

• A leader who recognizes data as a core corporate asset and can make decisions from a management perspective.
• Someone who has a cross-functional understanding of technology, business, and governance, and can drive organizational transformation.
• A person with a strong sense of mission to “transform management through data,” embracing continuous improvement and challenges without fear.
• A leader who can build trust across departments and collaboratively solve problems.
• Someone who can translate corporate strategy into operational and technical strategies and lead their implementation.

応募について

• Age Any
• English only is acceptable

使用ツール

Mission

• Lead the realization of data-driven management centered on renewable energy by integrating and visualizing all of Looop’s data, and establishing a data ecosystem around the “One Data Platform.”

Position Overview

• The Chief Data Officer (CDO) serves as the executive responsible for Looop’s company-wide data strategy. As a member of the executive team, the CDO positions data at the core of corporate value creation.
• The CDO oversees all aspects of data governance, quality, security, and utilization (including analytics, data science, and AI), driving data-driven management and digital transformation (DX). The role also collaborates with internal and external stakeholders to build a data ecosystem centered around the One Data Platform.

Key Responsibilities

• 1. Data & AI Strategy and Vision
• Develop company-wide data strategy and roadmap aligned with corporate strategy.
• Design new business value creation models through enterprise-wide data utilization.
• Advise executive management on data strategy and support decision-making.
• Promote business growth and revenue models leveraging data (e.g., data-driven businesses, AI applications).
• 2. Data & AI Governance and Compliance
• Establish and oversee a company-wide data governance framework and data management operations.
• Define and enforce data ownership, quality standards, and usage policies.
• Ensure compliance with data protection regulations (GDPR, CCPA, Personal Information Protection Act, etc.).
• Foster a corporate culture of data ethics, privacy, and security.
• Promote company-wide data & AI literacy and formulate responsible AI usage policies.
• Monitor and continuously improve data/AI governance maturity and quality indicators.
• 3. Data Platform (One Data Platform) Leadership
• Drive the One Data Platform initiative to integrate company-wide data.
• Design and oversee data architecture, pipeline, and metadata management policies.
• Ensure reliability, availability, security, and cost-efficiency of the data platform.
• Optimize operations and development processes using DataOps, MLOps, and AIOps.
• Facilitate cross-departmental data integration, real-time data distribution, and AI/BI tool adoption.
• Promote future expansion including AI assistants, self-service analytics, and LLM applications.
• 4. Organization & Talent Management
• Lead the Data Management Office (DMO) and the following specialized teams:
• Data Governance Team
• Data Quality Management Team
• Data Analytics & Utilization Team
• Education & Support Team
• Drive internal data talent development (Data Literacy, Data Stewardship).
• Collaborate with external partners/vendors and lead the Data Governance Committee.
• 5. Data Utilization & Business Transformation Support
• Work with business units to design and implement data-driven decision-making processes.
• Support data visualization, AI/ML adoption, and generative AI deployment to enhance operations.
• Establish KPIs and management monitoring mechanisms based on data.

Organizational Positioning

• Department: Digital Solutions Division
• Direct Supervisor: Head of Digital Solutions Division
• Managed Organization: Data Management Department (Data Analytics & Data Platform Sections)
• Related Departments: Product Management (PdM), System Management, UX/UI, PMO, Information Security, etc.

Relevant Technologies & Stack

• Databricks（Python Notebook、MLflow等）
• Python（scikit-learn、XGBoost、LightGBM、PyTorch、TensorFlow、PySpark 等）
• SQL / DWH（BigQuery、Redshift、Delta Lake等）
• GCP / AWS（AI Platform、SageMaker等）
• MLOps（MLflow、DVC、Airflow等）、CI/CD、Docker、GitHub/GitLab
• BI（Tableau、Looker 等）