What types of executive roles does Sentiro Partners specialize in?

We specialize in AI & Data Leadership (Chief Data Officer, Chief AI Officer, VP Data Science), Technology Leadership (CTO, VP Engineering, CISO), CEO & C-Suite roles, Semiconductor Leadership, Private Equity portfolio leadership, and Digital & E-commerce executives. Our focus is on transformational leaders for the Augmentation Era.

What is the Augmentation Era?

The Augmentation Era describes the current business environment where AI and human intelligence work in tandem. Organizations require leaders who can harness AI to augment human capabilities, drive data-driven decision making, and navigate rapid technological transformation. Our executive search focuses on finding leaders who thrive in this environment.

Where does Sentiro Partners place executives?

We place executives globally with strong coverage in Ireland, United Kingdom, United States, and continental Europe. Our practice spans technology companies, financial services, healthcare, manufacturing, semiconductor firms, and private equity portfolio companies across multiple industries.

How long does a typical executive search take?

Most executive searches complete in 8-14 weeks from engagement to offer acceptance. Our founder-led, AI-augmented methodology enables faster identification of qualified candidates while maintaining rigorous assessment standards. Complex C-suite roles or highly specialized positions may extend to 12-16 weeks.

What makes Data & AI leadership different from traditional IT leadership?

Data & AI leaders must balance technical depth (ML engineering, data architecture) with strategic vision (business value creation, ethical AI deployment). They build data-driven cultures, not just data platforms - embedding analytics and intelligence throughout the organisation while navigating complex governance, privacy and ethical considerations that traditional IT leaders rarely face.

What industries are you most active in for Data & AI leadership searches?

We place Data & AI leaders across Financial Services (quant analytics, risk modelling), Technology (ML platforms, AI products), Healthcare (clinical AI, predictive analytics), Retail & eCommerce (personalisation, demand forecasting) and Gaming & Gambling (player analytics, responsible gaming AI). Our cross-sector experience enables us to identify transferable talent others overlook.

How long does a typical Chief Data Officer or AI executive search take?

Most Data & AI leadership searches complete in 8-12 weeks, though complex C-suite roles (CDO, Chief AI Officer) requiring board approval may extend to 12-16 weeks. Our founder-led, AI-augmented methodology enables faster identification of qualified candidates while maintaining rigorous assessment standards.

Do you place both Chief Data Officers (CDOs) and Chief AI Officers (CAIOs)?

Yes. We understand the nuanced differences: CDOs typically focus on data governance, analytics infrastructure and enterprise-wide data strategy, while CAIOs specialise in AI/ML product development, model deployment and AI ethics. Many organisations are now creating unified 'Chief AI & Data Officer' roles - we've successfully placed leaders in all configurations.

Can you help us build an AI/ML team, not just hire a single executive?

Absolutely. Beyond executive search, our Talent Augmentation service supports end-to-end team builds - from ML engineers and data scientists to analytics managers and AI product leads. We also offer Talent Advisory to help design optimal team structures, define role requirements and develop talent strategies aligned with your AI roadmap.

Practice

DATA & AILEADERSHIP

Transform data into competitive moats.

We place Chief Data Officers, AI executives, ML engineering leaders and data science executives who architect AI strategies, build ML platforms and translate artificial intelligence into competitive advantage.

Specialised domains

AI, Data & Quant Financial Services Gaming & Gambling

Abstract data and AI leadership visualisation with flowing data streams and neural network nodes

Data & AI Frontier

Section 01

AI & DATA LEADERSHIP FOR THE ERA

Data and AI are no longer peripheral - they are the foundation upon which modern competitive advantage is built.

In the Augmentation Era, organisations that master data and AI don't just operate more efficiently - they see further, decide faster and adapt more intelligently than competitors trapped in intuition-driven paradigms.

Our Data & AI Leadership practice identifies executives who understand this transformation at both technical and strategic levels - leaders who architect data platforms, deploy production AI systems and build cultures where intelligence compounds.

From Chief Data Officer recruitment to ML engineering leadership.

We place the data leadership that drives competitive advantage.

Section 02

LEADERSHIP DOMAINS

The data and AI leadership roles we are built to deliver - each search led at partner level, each placement held to the same standard.

AI & Machine Learning Leadership

Executives who architect AI strategies, build ML platforms and translate artificial intelligence into competitive advantage and business value.

Example roles

Chief AI Officer / Head of AI
VP Machine Learning & AI
Director, AI/ML Engineering
VP AI Product & Strategy

Data Leadership

Data executives who build data-driven cultures, govern data as a strategic asset and unlock insights that drive decision-making at scale.

Example roles

Chief Data Officer
VP Data & Analytics
Head of Data Engineering
VP Data Science & Insights

Analytics & Business Intelligence

Leaders who transform raw data into actionable intelligence, embedding analytics throughout organisations to optimise every function.

Example roles

Chief Analytics Officer
VP Business Intelligence
Head of Advanced Analytics
VP Analytics & Insights

AI / Data Product Leadership

Product executives who build AI-powered products, monetise data assets and create intelligence-driven customer experiences.

Example roles

VP AI Products
Head of Data Products
Director, ML Product Management
VP Intelligent Platforms

Quantitative Analytics

Quantitative leaders who apply mathematical modelling, statistical analysis and algorithmic thinking to solve complex business problems and drive data-driven decision making.

Example roles

Head of Quantitative Analytics
VP Quantitative Research
Chief Quantitative Officer
Director, Quantitative Modelling
Research Scientist
Members of Technical Staff
ML Researcher
Foundational Modelling Experts

Data Science

Data science executives who build and lead teams that extract insights from data, develop predictive models and drive innovation through advanced analytics and experimentation.

Example roles

VP Data Science
Head of Data Science
Chief Data Scientist
Director, Applied Data Science

Section 03

THE STRATEGIC IMPERATIVE

Organisations with mature data and AI capabilities outperform competitors across every metric - revenue growth, operating margins, customer satisfaction and innovation velocity. Data-driven organisations make decisions 5x faster, with 3x higher accuracy. AI-enabled businesses automate 60-80% of repetitive cognitive work, freeing human talent for higher-value activities.

2.6X

Higher performance of data-driven organisations

126%

Profit improvement from AI adoption (McKinsey)

23X

More likely to acquire customers with data excellence

80%

Automation of repetitive cognitive tasks via AI

Section 04

WHY SENTIRO PARTNERS

We assess data and AI leadership with both technical fluency and strategic perspective - understanding the difference between data scientists who code and leaders who transform organisations.

Our practice has placed Chief Data Officers who built enterprise data platforms from the ground up, AI executives who deployed production ML systems at scale and analytics leaders who embedded intelligence throughout Fortune 500 organisations.

We evaluate candidates on dimensions others overlook: their ability to translate technical complexity into business language, build diverse data science teams, navigate AI ethics and drive cultural transformation toward data-driven decision-making.

In the Augmentation Era, data and AI leadership isn't optional - it's existential.

Section 05

RELATED PRACTICES

Explore our other specialised executive search practices.

Section 06