AI, Data, and Analytics
AI leadership for the enterprise era: Helping organizations define, recruit, and develop AI transformation leadership
First global AI executive search practice (2012) | Hundreds of AI leadership searches | Global enterprise clients

Since launching the first global AI & Data executive search practice and AI executive search firm capability in 2012, Heidrick & Struggles has worked with boards and CEOs worldwide to define and recruit roles such as Chief AI Officer, Chief Data & AI Officer, Head of Agentic AI, and other senior AI leaders.

Organizations are rapidly shifting from experimentation to enterprise-scale AI—spanning generative and increasingly agentic systems—raising new questions about AI leadership, operating models, autonomy, and governance. Boards and executive teams are determining how to structure AI, data, and intelligent systems, where these capabilities should sit, and whether they need roles such as a Chief AI Officer (CAIO), Chief Data & AI Officer (CDAIO), or other senior AI leadership.

We work with boards, CEOs, and executive teams to design the leadership architecture for enterprise AI, from defining operating models, decision rights, and governance, to identifying leaders with the technical depth, product mindset, and business judgment to transform AI strategy, generative AI adoption, and autonomous agent capabilities into measurable outcomes.

Our clients span global enterprises, private equity–backed companies, and digital-native organizations building AI, machine learning, advanced analytics, and agentic AI capabilities. Typical mandates include: 

  • Chief AI Officer (CAIO) 
  • Chief Data & AI Officer (CDAIO) 
  • Chief Data & Analytics Officer (CDAO) 
  • Head of AI, Generative AI, or Agentic AI 
  • Head of AI Product / AI Product Leader 
  • Head of Data Science and Applied AI 
  • Head of Machine Learning Engineering / VP, Machine Learning 
  • AI and data leaders for private equity portfolio companies 
  • Board directors and senior advisors with AI and data expertise 

Few firms combine AI and agentic AI executive search, leadership advisory, and interim leadership globally. Our integrated approach to AI search, leadership assessment and development, and interim leadership enables clients to access the leadership they need, whether appointing a Chief AI Officer, strengthening an existing leadership team, or deploying interim AI executives to accelerate transformation.  

Our goal is to help organizations build AI and data leadership teams that scale innovation, govern risk, and deliver sustained business impact.

データ活用の未来を切り拓く、生成AI時代のCDOの役割と重要性

生成AI技術の急速な進化により、データは企業の意思決定や競争力の中心的な役割を果たしています。本稿では、データの「交通管制官」として組織のデータ戦略をリードする最高データ責任者(CDO)の役割を解説。国内外の事例や調査結果を交え、CDOに求められるデータガバナンス・管理能力、強力な分析力、経営感覚と技術的専門知識、異なる地域や文化に対応するコミュニケーション力など、生成AI時代に必要とされるスキルや能力について考察します。

データ活用の未来を切り拓く、生成AI時代のCDOが直面する課題

組織が生成AIやデータ戦略を採用する中、最高データ責任者(CDO)の存在意義はますます重要性を増しています。本稿では、CDOが直面する課題に焦点を当て、従業員がAIやデータ活用に対して抱く不安への対応、CDOの立場の不確定さ、取締役会の期待値と現実のギャップといった複数の側面から、CDOが組織内で価値を最大化するために直面する課題とその対応について解説します。

CDOを活用して組織変革を推進するための戦略

生成AIの進化により、企業におけるデータ戦略の重要性はかつてないほど高まっています。本稿では、最高データ責任者(CDO)が組織変革を推進するために必要な戦略を解説。欧州および欧米での調査結果をもとに、CDOの役割が急速に定着しつつある背景を紹介しつつ、取締役会からの支援の在り方、ビジネス中心のアプローチや部門横断的な協力の促進、「データの民主化」を通じた文化醸成など、CDOを成功に導くための具体的なアクションを考察します。さらに、日本企業が直面する独自の課題として、外国人人材との協働や企業文化への適応についても取り上げ、CDOが組織全体を「直感ベース」から「データ駆動型」へと転換するための実践的なヒントを提示します。

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From Hype to Action: Sam Burman on The Leadership Enigma Podcast

Leaders are rushing into AI—but many treat it like another IT program. In this episode, Sam Burman, Global Managing Partner at Heidrick & Struggles, shares practical steps to activate AI without losing the human system at the heart of every organization.

AI Insights

AI thought leadership

AI is transforming business models at a rapid pace, with most companies using it in some capacity but few deploying it organization-wide. The biggest challenge is finding talent—not just AI expertise, but also the ability to scale new technologies and manage change effectively.

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