Chief Data Officer|最高データ責任者

5日前

Tokyo, Tokyo PERSOL CAREER BRS (Bilingual Recruitment Solutions)

Job number: JN Posted:

Chief Data Officer|最高データ責任者

東日本大震災のボランティアを機に生まれた注目のベンチャー企業/英語スキル活かせる

million yen Tokyo Information Technology IT Management

Job details

Company overview A company that provides renewable energy and electric power services.

Responsibilities
同社は東日本大震災のボランティアを機に生まれた注目の
ベンチャー企業
です。

電力小売り事業、蓄電池事業、太陽光発電所開発建設事業、再生可能エネルギー発電所運営保守事業を行っています。

同社の全データを統合・可視化し、データエコシステムを確立することで

【再生可能エネルギーを軸としたデータドリブン経営の実現のリード】
をお任せします。

本ポジションは全社のデータ戦略の立案・実行責任者として、経営陣の一員としてデータを企業価値創造の中核に位置づける役割です。

データガバナンス、品質、セキュリティ、データ利活用(分析、サイエンス、AI)を含む全領域を横断的に統括し、

データドリブン経営の推進とデジタル変革(DX)をリードします。

また、社内外のステークホルダーと連携し、データエコシステムを構築します。

━━━━━━━━━━━━━━━

■Responsibilities

  • 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).

  • 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.

  • Data Platform Leadership

  • Drive the 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.

  • 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.

  • 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.

■活かせる技術・スタック

  • 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)

━━━━━━━━━━━━━━━#spotlightjob5

Requirements
■必須

  • 経営戦略と連動したデータ戦略立案および実行経験
  • データ基盤(DWH、データレイク、クラウド環境、ETL)の構築・運用実績と高い専門性
  • AI・BI・データ分析技術への理解と実践的な導入経験・事業価値創出経験および高い専門性
  • データガバナンス、AIガバナンス、セキュリティ、プライバシー管理の深い知識と実務経験
  • ビジネスレベル以上の英語スキル

■歓迎

  • グローバル企業またはテクノロジー企業でのCDO/データ責任者経験
  • 生成AI・LLM・データマイニング等の応用研究・導入経験
  • クラウドプラットフォーム(AWS、GCP、Azure)活用経験
  • 英語での経営報告および海外パートナーとの協業経験
  • 再エネや社会インフラ領域のデータ活用経験

Salary million yen

Location Tokyo

BRS Consultant

Takao Iwano
Online / Inhouse

Email me directly

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