Chief Data Officer and Chief Data & AI Officer Executive Search in Florida and the Southeast
Chief Data & AI Officer (CDO / CDAO) Executive Search
Executive Search for Chief Data & AI Leadership
The responsibilities of a Chief Data Officer increasingly extend beyond traditional data management. Organizations may expect senior data leaders to establish enterprise data strategy, strengthen governance, improve data quality, support analytics, enable artificial intelligence, and turn organizational data into a strategic business capability.
A Chief Data & AI Officer can bring these responsibilities together by connecting data foundations with artificial intelligence, analytics, machine learning, and business transformation.
JRG Partners provides executive search for organizations seeking senior data and AI leadership across Florida and the Southeast, with particular relevance to financial-services organizations and other data-intensive businesses.
Our searches can address leadership requirements involving enterprise data strategy, data governance, data quality and architecture, analytics and business intelligence, artificial intelligence and machine learning, data-driven transformation, AI and data integration, data organization development, and regulatory and risk considerations.
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Looking for a Chief Data Officer or Chief Data & AI Officer who can turn enterprise data into a strategic capability?
Tell us about your organization’s data environment, AI objectives, leadership structure, and executive requirements.
INDUSTRY INSIGHT: CHIEF DATA & AI OFFICER RECRUITERS
Data Leadership Is Expanding Beyond Data Management
Modern Chief Data Officers may be responsible for much more than maintaining enterprise data systems.
Organizations can expect senior data executives to establish data strategy, improve data quality, strengthen governance, enable analytics, and create the foundation required for artificial intelligence.
This makes the CDO an increasingly cross-functional executive position involving technology, operations, risk, analytics, and business leadership.
AI Strategy Depends on Strong Data Foundations
Artificial intelligence initiatives depend on the availability, quality, accessibility, and governance of organizational data.
A Chief Data & AI Officer can connect these areas by bringing together:
- Enterprise data strategy
- Data governance
- Analytics
- Machine learning
- Artificial intelligence
- Data architecture
- AI readiness
The leadership requirement therefore extends beyond implementing AI tools and includes building the data capabilities needed to support them.
Data Governance Is an Executive Responsibility
Organizations operating across regulated or data-intensive environments need clear ownership of data governance.
Senior data executives may oversee areas such as:
- Data quality
- Data ownership
- Data standards
- Data governance frameworks
- Data security coordination
- Regulatory requirements
- Data access
- Enterprise data policies
A strong CDO or CDAO leadership mandate should define how these responsibilities interact with technology, risk, compliance, and business functions.
Analytics and AI Need to Work Together
Organizations increasingly use analytics and AI together to support forecasting, decision-making, automation, customer insights, and operational improvements.
A Chief Data & AI Officer may therefore need to understand both the organization’s existing analytics capabilities and its plans for artificial intelligence and machine learning.
The executive can help align data science, analytics, AI, and business teams around common organizational objectives.
Financial Services Requires Strong Data Leadership
Financial-services organizations can have particularly complex data environments involving customer information, transactions, risk, compliance, analytics, and regulatory requirements.
This makes senior data leadership especially important for organizations seeking to modernize analytics, strengthen data governance, and develop AI capabilities.
JRG Partners’ Southeast focus includes Atlanta, Charlotte, and Jacksonville, markets specifically identified in the practice brief for financial-services CDO/CDAO buyers.
The Most Relevant Data & AI Executive Roles
Representative leadership positions can include:
- Chief Data Officer
- Chief Data & AI Officer
- Chief Data and Analytics Officer
- Chief Analytics Officer
- VP of Data & Analytics
- Head of Data
- Head of Data Science
- Data Transformation Executive
- Enterprise Data Strategy Executive
- AI & Data Transformation Executive
The appropriate role depends on the organization’s existing executive structure and the scope of its data and AI strategy.
Why Specialized CDO & CDAO Recruiters Matter
Chief Data Officer and Chief Data & AI Officer searches require an understanding of how data, analytics, AI, technology, governance, and business strategy intersect.
A specialized search process can help organizations define the executive mandate and identify leaders whose experience corresponds with the organization’s data environment, industry, transformation objectives, and leadership requirements.
WHY CHOOSE JRG PARTNERS FOR CHIEF DATA & AI OFFICER EXECUTIVE SEARCH
Chief Data and Chief Data & AI Officer searches require more than conventional technology recruitment. The executive must be able to operate across data, analytics, AI, governance, technology, and business leadership.
JRG Partners structures each search around the organization’s specific data and AI leadership requirements.
Data Leadership Expertise
Chief Data Officer searches require a clear understanding of enterprise data strategy, governance, analytics, architecture, and organizational data capabilities. The search is built around the responsibilities defined for the executive position.
Data & AI Leadership Alignment
Organizations increasingly need data leadership that can support artificial intelligence initiatives. Searches can focus on executives who understand how data foundations, analytics, machine learning, and AI strategy work together.
Financial Services & Data-Intensive Markets
Data leadership is particularly important for organizations operating in financial services and other data-intensive industries. JRG Partners’ Southeast practice includes markets such as Atlanta, Charlotte, and Jacksonville.
Data-Driven Transformation
Modern CDO and CDAO roles can involve enterprise transformation, analytics modernization, AI adoption, governance, and organizational development. Search criteria are aligned with the transformation mandate of the organization.
The Data & AI Leadership Signal
DATA • ANALYTICS • AI
Executive search for Chief Data Officers, Chief Data & AI Officers, Chief Data & Analytics Officers, and senior data leadership roles across Florida and the Southeast.
CHIEF DATA & AI OFFICER EXECUTIVE SEARCH SPECIALIZATIONS
Chief Data Officer Search
Enterprise Data Leadership
Searches for Chief Data Officers can focus on executives responsible for:
- Enterprise data strategy
- Data governance
- Data quality
- Data architecture
- Analytics strategy
- Data organization development
- Data transformation
- Business data capabilities
Chief Data & AI Officer Search
Integrated Data & AI Leadership
CDAO searches can focus on leaders responsible for connecting:
- Data strategy
- Artificial intelligence
- Machine learning
- Analytics
- Data governance
- AI adoption
- Data-driven transformation
- Enterprise AI readiness
Data & Analytics Leadership
Enterprise Analytics Strategy
Organizations may require senior executives capable of connecting data with decision-making and business performance.
Relevant responsibilities can include:
- Business intelligence
- Advanced analytics
- Predictive analytics
- Data science
- Analytics transformation
- Decision intelligence
- Enterprise reporting
Our Proven Chief Data & AI Executive Search Process
1. Define the Data Leadership Mandate
We begin by understanding the organization’s data environment, business objectives, AI strategy, existing leadership structure, and reason for hiring a CDO or CDAO.
2. Assess the Data & AI Environment
The search profile considers the organization’s current data capabilities, analytics maturity, AI initiatives, governance requirements, and technology environment.
3. Establish the Executive Profile
The required leadership profile can include experience in data strategy, governance, analytics, AI, transformation, technology, and executive leadership.
4. Map the Relevant Executive Market
The search focuses on senior data and AI executives whose experience aligns with the organization’s industry, transformation objectives, and leadership requirements.
5. Evaluate Strategic & Technical Leadership
Candidates can be evaluated across data strategy, AI understanding, governance, organizational leadership, business alignment, and transformation experience.
6. Support Executive Selection
JRG Partners supports the organization through candidate evaluation and selection as it determines the executive best aligned with its defined leadership mandate.
The AI Leadership Landscape
3 CORE ENGAGEMENT MODELS
Fractional Chief AI Officer, Interim Chief AI Officer, and Interim Head of AI placements for mid-market and PE-backed companies across Florida.
Chief Data & AI Officer Search Across Florida & the Southeast
What Our Clients Seek in Chief Data & AI Leadership
Organizations seeking a Chief Data Officer or Chief Data & AI Officer often need an executive who can connect enterprise data capabilities with measurable business priorities. The leadership mandate may span governance, analytics, artificial intelligence, transformation, and organizational development.
Chief Data & AI Officer case studies
Placing the First Chief Data Officer for a South Florida Consumer Products and Retail Brand
Recruiting a Chief Data & AI Officer to Unify Clinical and Operational Analytics
Challenge:
A Raleigh regional health system needed unified data and AI leadership to consolidate fragmented analytics, govern clinical AI, and meet rising regulatory and value-based care demands.
Solution:
JRG Partners assessed 300+ healthcare data and AI executives and conducted a confidential search for a Chief Data & AI Officer and supporting clinical analytics and governance leaders.
Outcome:
The first Chief Data & AI Officer was placed in 68 days, analytics were consolidated, clinical AI governance was established, and 30-day readmissions fell by 12%.
Securing a Chief Data & AI Officer to Drive Grid Analytics and Operational Intelligence
Challenge:
Partner With Us
for Your Next Chief Data & AI Executive Search
The right data executive can influence how an organization manages information, develops analytics capabilities, prepares for artificial intelligence, and turns data into a strategic business resource.
Whether you are seeking a Chief Data Officer, Chief Data & AI Officer, Chief Data & Analytics Officer, or another senior data executive, JRG Partners can structure the search around your organization’s requirements.
The Data & AI Leadership Focus
3 CORE DATA & AI LEADERSHIP AREAS
Search coverage across Chief Data Officer, Chief Data & AI Officer, and Chief Data & Analytics Officer leadership for organizations across Florida and the Southeast.
EXECUTIVE HIRING GUIDE: AI EXECUTIVE RECRUITERS
Understanding Today's Chief Data & AI Leadership Landscape
Chief Data Officers and Chief Data & AI Officers are increasingly responsible for connecting enterprise data capabilities with analytics, artificial intelligence, governance, and business strategy. Their responsibilities may span:
- Enterprise data strategy and operating models
- Data governance and data quality
- Data architecture and infrastructure
- Analytics and business intelligence
- Artificial intelligence and machine learning
- Data science and advanced analytics
- AI and data transformation
- Data privacy, risk, and regulatory requirements
- Building and leading data and analytics teams
- Executive stakeholder alignment
- Data-driven decision-making
- Developing enterprise AI readiness
Organizations increasingly seek data leaders who can establish trusted data foundations while turning data, analytics, and AI into strategic business capabilities.
Key Chief Data & AI Executive Roles
Organizations may structure their data and AI leadership function around different executive positions, including:
- Chief Data Officer (CDO)
- Chief Data & AI Officer (CDAO)
- Chief Data and Analytics Officer
- Chief Analytics Officer
- VP of Data & Analytics
- VP of Data
- Head of Data
- Head of Data Science
- Data Transformation Executive
- Enterprise Data Strategy Executive
- AI & Data Transformation Executive
The appropriate role depends on the organization’s existing technology structure, data maturity, AI strategy, and executive responsibilities.
Essential Skills to Evaluate During CDO & CDAO Searches
When evaluating Chief Data Officer and Chief Data & AI Officer candidates, organizations should consider:
- Enterprise data strategy
- Data governance
- Data quality management
- Data architecture
- Analytics and business intelligence
- Artificial intelligence and machine learning
- Data science leadership
- AI and data transformation
- Data operating models
- Executive communication
- Cross-functional leadership
- Business and commercial understanding
- Regulatory and risk awareness
- Ability to build and lead data organizations
The balance between these capabilities should reflect the organization’s specific executive mandate.
Executive Interview Best Practices
A CDO or CDAO interview should evaluate the candidate’s ability to lead both the data foundation and the organization’s broader data-driven transformation.
Organizations can explore:
- How the candidate develops an enterprise data strategy
- Experience establishing data governance frameworks
- Approach to improving data quality and accessibility
- Experience leading analytics and data science organizations
- How the candidate approaches AI and machine learning initiatives
- Experience integrating data and AI strategies
- Approach to data-driven transformation
- Experience working with CEOs, boards, and executive leadership
- Ability to establish data operating models
- Experience managing regulatory and risk considerations
- Approach to building and retaining data leadership teams
- How the candidate connects data investments with business objectives
Executive Compensation Considerations
Chief Data Officer and Chief Data & AI Officer compensation can vary according to organizational size, industry, geographic market, executive experience, and the scope of the leadership mandate.
Organizations may evaluate the overall executive compensation structure, including:
- Base salary
- Annual incentive compensation
- Long-term incentives
- Equity or ownership participation
- Executive benefits
- Performance-based compensation
- Relocation considerations where applicable
For this page, compensation should be discussed in the context of the specific CDO or CDAO mandate, rather than presenting a generic AI executive compensation figure.
Common Chief Data Officer Hiring Challenges
Organizations conducting CDO and CDAO searches may encounter challenges such as:
- Defining the appropriate scope of the data executive role
- Determining whether data and AI responsibilities should sit with one executive
- Finding leaders with both data and AI experience
- Balancing technical expertise with executive leadership
- Assessing candidates’ experience with enterprise-scale data transformation
- Finding executives with relevant industry and regulatory experience
- Aligning data strategy with broader business objectives
- Building effective data and analytics organizations
- Integrating data leadership with existing CTO, CIO, and technology functions
A clearly defined leadership mandate helps establish the capabilities required before beginning the executive search.
Partnering With Specialized Chief Data Officer Recruiters
Chief Data Officer and Chief Data & AI Officer searches require an understanding of how data strategy, governance, analytics, artificial intelligence, technology, and business leadership intersect.
JRG Partners supports senior data and AI executive searches across Florida and the Southeast, including Miami, Boca Raton, Fort Lauderdale, West Palm Beach, Tampa, Orlando, Jacksonville, Atlanta, Charlotte, and Nashville.
The practice has particular relevance for organizations in financial services and other data-intensive industries, where data governance, analytics, AI, risk, and regulatory requirements can form an important part of the executive mandate.
The search can be structured around the organization’s specific requirements for a Chief Data Officer, Chief Data & AI Officer, or related senior data and analytics executive.
FREQUENTLY ASKED QUESTIONS ABOUT CHIEF DATA OFFICER & CHIEF DATA & AI OFFICER EXECUTIVE SEARCH
Q1. What does a Chief Data Officer do?
A Chief Data Officer typically provides executive leadership for an organization’s data strategy. Depending on the organization, responsibilities can include data governance, data quality, analytics, data architecture, data transformation, and establishing data capabilities that support business objectives.
Q2. What is a Chief Data & AI Officer?
A Chief Data & AI Officer combines senior data leadership with responsibility for artificial intelligence and related transformation initiatives. The role may connect enterprise data strategy, analytics, machine learning, AI adoption, governance, and business transformation.
Q3. What is the difference between a CDO and a CDAO?
A Chief Data Officer may focus primarily on enterprise data strategy, governance, quality, analytics, and data transformation. A Chief Data & AI Officer generally has a broader mandate that explicitly connects those responsibilities with artificial intelligence and AI-driven transformation.
The exact responsibilities vary by organization.
Q4. When should a company hire a Chief Data Officer?
An organization may consider hiring a CDO when data has become a significant enterprise priority and requires dedicated executive ownership. This can occur when an organization needs stronger data governance, analytics capabilities, data transformation, or enterprise-wide data strategy.
Q5. When should a company hire a Chief Data & AI Officer?
A CDAO may be appropriate when an organization’s data strategy and artificial intelligence strategy are closely connected and require unified executive leadership.