Define the leadership architecture for enterprise technology, AI, data, digital, product, and transformation functions, including role mandates, governance, reporting lines, and succession.
Technology & AI Officers
AI has fundamentally reshaped the enterprise technology agenda. Boards, CEOs, and executive teams are rethinking leadership mandates across technology, digital, data, product, cyber, and AI, raising urgent questions about how organizations structure leadership, govern transformation, and execute at the speed this moment demands. This includes evolving expectations for CIOs, CTOs, digital and product leaders, as well as emerging mandates around agentic AI leadership and the chief data and AI officer.
Heidrick & Struggles works with boards, CEOs, CHROs, CIOs, CTOs, chief AI officers, and other senior leaders to define critical leadership mandates and build the teams required to execute them. Our work spans enterprise technology, AI, data, digital, product, and transformation leadership across industries and business models. In 2012, Heidrick introduced the first global AI executive search practice, giving us a decade-plus head start in shaping the market for leadership in AI, data, and analytics.
Technology leadership decisions now carry enterprise-level risk and opportunity. Clients turn to us when the stakes are highest: defining new mandates, making critical hires, and building teams equipped to scale AI across the business. We support leadership success through technology leadership advisory, executive assessment, organizational and cultural development, and the provision of interim technology executives, helping clients not only appoint leaders but also position them for success. The result is a more cohesive path from AI ambition to enterprise execution, delivered with clarity and confidence.
At left is a representative selection of the technology and AI roles we advise on and recruit for, from established C-suite positions to emerging mandates shaping enterprise adoption, governance, and innovation.
The questions leaders are asking now
Leaders aren’t looking for a list of capabilities; they’re looking for answers as AI moves from experimentation to enterprise accountability. Our client conversations focus on ownership, readiness, governance, and value creation.
1
Do we need a Chief AI Officer, or should AI sit with the CTO, CIO, CDO, or business leadership?
2
Should we organize around a centralized AI function, embedded teams, or a hybrid model?
3
What should a technology or AI leadership role own versus influence, and how should it interface with product, data, cyber, HR, legal, and the board?
4
Is our current leadership team ready to execute at AI speed, or are we built for stability in a moment that demands adaptation?
5
How do we add governance and decision rights without slowing innovation?
6
How do we show boards, investors, or sponsors that leadership is ready to deliver transformation?
Why Clients Choose Us:
End-to-end leadership decisions for AI and technology transformation
Technology and AI leadership is not a single decision; it is a continuous lifecycle. From defining the mandate to enabling long-term success, each leadership decision shapes enterprise transformation outcomes.
Leadership Strategy
Executive Search
Recruit leaders across technology, AI, data, digital, product, and transformation leadership, from CIOs and CTOs to chief AI and data officers and heads of AI.
Leadership Assessment
Assess leaders against the realities of transformation, including adaptability, enterprise influence, and decision-making under pressure.
Organization & Culture
Align operating models, teams, and leadership behaviors to support enterprise adoption, execution, and transformation at scale.
Interim Leadership
Gain and sustain momentum during critical periods of transition and change with with interim leaders who stabilize teams, accelerate execution, and build capabilities ahead of permanent hires.
Enterprise outcomes shaped by technology and AI leadership
Technology leadership decisions now carry direct implications for enterprise performance, governance, transformation, and long-term value creation. Clients work with Heidrick to reduce uncertainty around those decisions, bringing clarity to critical leadership mandates, aligning executive teams, and securing the talent and organizational capabilities required to execute transformation at scale. Our experience spans industries, business models, and stages of transformation, from enterprise technology modernization and operating model evolution to AI adoption, data leadership, and large-scale transformation initiatives.
Our work is designed to reduce uncertainty around leadership decisions that directly impact performance, governance, transformation, and value creation. Clients work with us to achieve:
- Clear accountability across technology, AI, data, digital, and product leadership
- Stronger alignment between the board, CEO, and executive team
- Greater confidence in hiring, succession, and leadership team design
- Faster access to high-caliber talent in highly competitive markets
- Operating models that balance innovation, governance, and execution
- Leadership teams equipped to convert technology and AI investment into measurable business outcomes
Our experience spans industries, business models, and stages of transformation across enterprise technology, AI, data, digital, and product leadership. Recent mandates include:
- Chief Technology, Data and Analytics Officer for a consumer enterprise
- Chief AI Officer for a global travel technology company
- Chief Information Officer and digital transformation leadership roles across multiple industries
- Senior Vice President of AI for a leading biopharma organization
- Chief AI Products and Solutions Officer for a global financial services institution
- Chief Data and AI Officer, Chief Data Officer, and Head of AI mandates across financial services, healthcare, technology, and consumer sectors