Sentiro Partners | Retained Executive Search for AI, Product, Data, Quant and Frontier Technology
Sentiro Partners is a retained executive search firm headquartered in Dublin, Ireland, operating globally across North America, Europe and Asia Pacific. The firm was founded in 2025 by Adrian Clarke and specialises in technically demanding leadership markets: artificial intelligence, machine learning, quantitative finance, capital markets, iGaming and gambling, semiconductors, and frontier technology.
What we do
Sentiro Partners works on a retained-only basis. Every mandate follows a four-stage methodology: IMMERSE (deep briefing and market definition), SCOUT (systematic market mapping and sourcing), ASSESS (structured evaluation against calibrated benchmarks), and DELIVER (offer management and onboarding support).
Roles we place
Chief AI Officer, Chief Data Officer, Chief Product Officer, Chief Financial Officer, General Counsel and capital markets lawyers, VP of Machine Learning, Head of AI Research, foundation model and post-training researchers, alignment and safety researchers, quantitative researchers and quantitative developers, low-latency engineers, data science executives, and senior leadership for iGaming and gambling operators.
Who we serve
Frontier AI laboratories, quantitative trading firms and hedge funds, specialty finance firms, technology companies, iGaming and gambling operators, semiconductor companies, and high-growth venture-backed startups.
Adrian Clarke is Founder and Principal of Sentiro Partners. His career spans executive search at Korn Ferry across EMEA in technology, digital and data, and an in-house role as global Head of Executive Search at Analog Devices, a Fortune 500 semiconductor company, where he built the search function from scratch.
Sentiro Partners publishes thought leadership on AI talent markets, executive search trends, and frontier technology leadership. Topics include machine learning hiring, frontier AI lab talent strategy, quantitative research hiring, and the future of AI executive roles.
Sentiro Partners | Retained Executive Search for AI, Product, Data, Quant and Frontier Technology
Sentiro Partners is a retained executive search firm headquartered in Dublin, Ireland, operating globally across North America, Europe and Asia Pacific. The firm was founded in 2025 by Adrian Clarke and specialises in technically demanding leadership markets: artificial intelligence, machine learning, quantitative finance, capital markets, iGaming and gambling, semiconductors, and frontier technology.
What we do
Sentiro Partners works on a retained-only basis. Every mandate follows a four-stage methodology: IMMERSE (deep briefing and market definition), SCOUT (systematic market mapping and sourcing), ASSESS (structured evaluation against calibrated benchmarks), and DELIVER (offer management and onboarding support).
Roles we place
Chief AI Officer, Chief Data Officer, Chief Product Officer, Chief Financial Officer, General Counsel and capital markets lawyers, VP of Machine Learning, Head of AI Research, foundation model and post-training researchers, alignment and safety researchers, quantitative researchers and quantitative developers, low-latency engineers, data science executives, and senior leadership for iGaming and gambling operators.
Who we serve
Frontier AI laboratories, quantitative trading firms and hedge funds, specialty finance firms, technology companies, iGaming and gambling operators, semiconductor companies, and high-growth venture-backed startups.
Adrian Clarke is Founder and Principal of Sentiro Partners. His career spans executive search at Korn Ferry across EMEA in technology, digital and data, and an in-house role as global Head of Executive Search at Analog Devices, a Fortune 500 semiconductor company, where he built the search function from scratch.
Sentiro Partners publishes thought leadership on AI talent markets, executive search trends, and frontier technology leadership. Topics include machine learning hiring, frontier AI lab talent strategy, quantitative research hiring, and the future of AI executive roles.
There is a new seat at the C-suite table. Not borrowed from IT. Not quietly absorbed by the CTO. A dedicated, accountable, strategically significant role with its own mandate, its own metrics, and its own budget.
The Chief AI Officer has arrived. In 2026, the organizations still treating it as optional are already falling behind.
Just two years ago, roughly 11% of large organizations had a dedicated AI executive. That figure has more than doubled. Estimates suggest over 40% of Fortune 500 companies will hold the title before the year is out.
This is not a technology appointment. It is a leadership imperative.
11%
2024
Had dedicated AI executive
40%+
2026
Fortune 500 with CAIO
36%
Higher ROI
Centralized AI models
The experiment is over
The early days of AI in the enterprise had a familiar shape. Run pilots. Educate the board. Find the use cases. Appoint an evangelist to keep pace and report back.
That phase is over.
In 2026, AI is embedded in workflows, customer experiences, operational decision-making, and product development. Agentic systems, those capable of executing multi-step tasks without human intervention at each stage, are in production in major enterprises right now. The EU AI Act is in effect. Boards are demanding accountability.
The CAIO role has evolved accordingly. What was once a guide and a storyteller has become an operator, a governor, and a strategist.
The job is not to help the organization imagine what AI could do. The job is to make AI work. Reliably. Responsibly. At scale.
PHASE ONE
2022-2024
The Evangelist
Run pilots. Educate the board. Find use cases. Report back on what AI could do.
PHASE TWO
2025-2026
The Operator
Make AI work. Reliably. Responsibly. At scale. Own outcomes, not experiments.
What the role actually demands
The CAIO mandate is broad by design, because AI's impact is broad by nature. It touches strategy, technology, operations, risk, people, and culture simultaneously.
In 2026, the role demands six things.
01
Strategy Tied to Outcomes
Own an AI agenda coupled to business performance. Use case prioritization, investment allocation, roadmap aligned to reality.
02
Delivery Discipline
Accountable for concept to production. Platform decisions, vendor relationships, budget, ongoing real-world performance.
03
Governance & Risk
Establish frameworks for compliance, auditability, defensibility. Data privacy, model bias, explainability, incident response.
04
Operating Model
Structure that balances enterprise governance with functional agility. Design models that scale and create value.
05
Change Leadership
Build AI literacy across workforce. Reduce friction. Ensure deployment succeeds through adoption and effective use.
06
Board Presence
Report directly to CEO or board. Translate AI risk into business language. Secure ongoing investment and strategic alignment.
How the CAIO sits alongside the rest of the C-suite
The CIO provides the infrastructure foundation. The CTO owns the architecture. The Chief Data Officer governs the raw material. The CISO secures the estate.
The CAIO converts all of it into measurable business performance.
The CAIO does not replace existing technology leadership. It completes it. Boundary clarity between these roles is not optional. Organizations that leave it ambiguous create turf conflicts that stall progress and frustrate exactly the kind of leaders they cannot afford to lose.
CAIO
Converts to Performance
CIO
Infrastructure Foundation
CTO
Architecture
CDO
Data Governance
CISO
Security Estate
CFO
Investment & ROI
CAIO
Converts to Performance
CIO
Infrastructure Foundation
CTO
Architecture
CDO
Data Governance
CISO
Security Estate
CFO
Investment & ROI
Seven things to get right when hiring one
The candidate pool is genuinely thin. People who combine technical credibility, strategic range, governance fluency, and the executive presence to lead at C-suite level are rare. Most hiring processes are not designed to find them.
Here is what actually matters.
1
Technical depth and strategic range in equal measure
The most common mistake is over-indexing on credentials. A deep technical background does not make someone an effective CAIO. Neither does a polished executive with a shallow grasp of AI. The right candidate holds both. Enough depth to earn respect and make sound judgments. Enough range to drive business outcomes and hold a board room.
2
A track record of delivery, not just exploration
The era of experimentation is over. Prioritize candidates who have taken AI from concept to production inside complex organizations. Ask about failures as much as successes. Ask whether their definition of success was tied to business outcomes or model performance metrics.
3
Governance and regulatory fluency
In 2026, a CAIO who cannot navigate the EU AI Act, speak to data privacy obligations, and design responsible AI controls is a liability, not an asset. Probe for concrete examples. Principles are not enough.
4
The ability to lead change, not just manage it
AI transformation is a human challenge as much as a technical one. The CAIO must communicate with clarity and conviction across technical teams, business leaders, frontline employees, and board directors. Can they explain complexity simply? Can they hold attention without losing precision?
5
Operating model instincts
How a candidate thinks about structuring AI capability is revealing. The best ones will not answer until they have asked the right questions about your culture, maturity, and priorities. Premature certainty is a warning sign.
6
The political intelligence to operate across existing power structures
The CAIO works alongside the CIO, CTO, CDO, CISO, Legal, and business leadership simultaneously. This requires coalition building, conflict resolution, and the ability to establish decision rights that reduce dependency on informal relationships.
7
Learning velocity above almost everything else
The AI landscape in 2026 is not the same as it was in 2024. It will not be the same in 2028. Ask what the candidate believed two years ago that they now know to be wrong. How they answer that question will tell you more than their CV.
The long view
There is a reasonable argument that the CAIO title normalizes over time. That as AI becomes embedded across every function, dedicated ownership becomes redundant, the way "Chief Digital Officer" quietly dissolved into the mainstream.
That may be true eventually. But it is not 2030.
Right now, most organizations are still navigating the transition from aspiration to execution. The gap between those making AI work reliably and responsibly, and those still cycling through disconnected pilots, is widening fast.
The CAIO is the leader who closes that gap.
The title will evolve. The need for clear ownership, disciplined governance, and someone who can convert AI's extraordinary potential into measurable performance will not.
The chief AI officer is not a symbolic appointment. Hire accordingly.
This is where Sentiro Partners comes in
Most medium and large organizations will undoubtedly need a CAIO. Few however, know how to attract one, assess one, or set one up to succeed.
Sentiro Partners works with boards and executive teams navigating exactly this moment. We identify the leaders who can operate at the intersection of AI capability, business strategy, and organizational change. Not candidates who look right on paper. Leaders who will actually deliver.
We bring the rigor the role demands. Market intelligence on where the best talent sits. A structured assessment framework built for the complexity of the CAIO mandate. And a direct line into the conversations your competitors are not having yet.
The Augmentation Era is not waiting. Your leadership team should not be either.
Connect With The Author
Questions about hiring a Chief AI Officer or building your AI leadership team? Connect with Adrian Clarke on LinkedIn.
Let's discuss how we can identify the executives who will drive your organization's transformation
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