This executive leadership role is accountable for building an enterprise data foundation that is highly reliable, resilient, and consistently available to the people, applications, analytics teams, and AI capabilities that depend on it. The Chief Data and Insights Officer leads AdventHealth’s enterprise data and insights strategy, helping turn trusted information into better decisions, stronger operations, and better outcomes for patients, team members, and communities. This executive leads a large, multidisciplinary enterprise organization responsible for the data and analytical capabilities that make that possible, including enterprise data platforms and engineering, data architecture, data products, governance, advanced analytics, decision science, and the shared organizational context that enables responsible use of AI.
Responsibilities
Set enterprise direction for data and intelligence
Develop and lead AdventHealth’s enterprise data and insights strategy
Translate organizational priorities into a clear operating model, architecture, investment plan, talent strategy, standards, and roadmap with defined accountabilities and measurable outcomes
Build an ultra-reliable enterprise data foundation
Lead the strategy, architecture, engineering, and operation of enterprise data platforms and products
Establish clear expectations for reliability, availability, quality, freshness, lineage, performance, and access so trusted information is consistently available to the teams and technologies that depend on it
Create shared meaning and trust
Establish accountable ownership for critical data and lead the development of common definitions, measures, semantic context, metadata, organizational relationships, and business rules
Resolve conflicting enterprise measures and strengthen the ability of people, applications, analytics, and AI capabilities to interpret information consistently
Accelerate insight and decision-making
Advance analytics and decision science capabilities that help leaders and teams move more quickly from information to understanding and action
Reduce unnecessary manual reporting and reconciliation, expand reusable analytical capabilities, and enable analytics teams to spend more time interpreting evidence, influencing decisions, and supporting operational improvement
Define and evolve the federated operating model
Establish enterprise standards, shared capabilities, service expectations, decision rights, and clear accountability across corporate, divisional, regional, and functional analytics teams
Preserve domain expertise and local partnership while creating greater consistency, reuse, transparency, and enterprise scale
Enable AI-powered insights and workflows
Partner across AI, Engineering, clinical, operational, and technology teams to ensure AI-enabled experiences and workflows are supported by trusted enterprise data, clear semantic context, appropriate analytical methods, and established governance
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Create the data and analytical capabilities needed to move responsibly from insight to action
Strengthen governance while enabling responsible use
Lead enterprise data governance with domain owners and the Data Enablement Council
Establish practical standards for ownership, quality, metadata, lineage, access, sharing, retention, and permitted use
Partner with Privacy, Cybersecurity, Legal, Compliance, and clinical governance leaders to protect trust while making information easier to use responsibly
Build and lead an enterprise-scale organization
Lead through senior leaders and develop a multidisciplinary organization with the capabilities needed for the future
Establish clear accountability, build leadership depth and succession, attract and retain strong talent, and evolve roles and skills as automation and AI change how data and analytics work is performed
Demonstrate enterprise value and steward resources responsibly
Prioritize investments based on strategic importance, expected outcomes, risk, adoption, and total cost
Measure reliability, adoption, reuse, decision effectiveness, productivity, and realized benefits
Manage assigned budgets, vendors, contracts, applications, and services with operational and financial discipline
Perform other duties as assigned
Requirements
Ability to lead enterprise data, analytics, and intelligence transformation across a large, complex organization, translating strategy into sustained organizational capability and measurable outcomes
Demonstrated ability to lead a large, multidisciplinary organization through senior leaders, with strength in organizational design, leadership development, succession planning, performance management, and talent strategy
Strong understanding of health care operations, clinical workflows, financial performance, workforce needs, consumer experience, and how trusted information can improve decisions and outcomes
Executive-level understanding of modern data architecture, engineering, data products, governance, analytics, decision science, semantic technologies, and AI-ready data capabilities, with the judgment to guide senior technical and functional leaders as technologies evolve
Ability to establish common definitions, measures, organizational context, business rules, ownership, and decision rights that can be consistently understood by people, analytical systems, applications, and AI-enabled capabilities
Ability to evaluate analytical evidence, distinguish signal from uncertainty, and ensure insights and recommendations are supported by appropriate methods, context, traceability, and safeguards
Ability to build alignment across functions, regions, operating entities, and distributed teams, balancing enterprise standards with domain expertise and local accountability
Strong portfolio, financial, vendor, communication, and change leadership skills, with the executive presence and judgment to build trust across clinical, operational, technical, and senior leadership audiences
Bachelor’s degree in business, information systems, computer science, a quantitative discipline, or a related field
Ten or more years of progressively responsible leadership experience in data, analytics, technology, digital capabilities, or related enterprise functions
Five or more years in senior leadership with responsibility for large, multidisciplinary organizations, including leadership through other senior leaders
Experience establishing or transforming an enterprise data and intelligence strategy, operating model, organization, and technology ecosystem with measurable adoption and business outcomes
Experience leading modern data platforms, engineering, data products, governance, analytics, and advanced decision capabilities through direct leadership and an integrated or federated operating model
Experience partnering across technology, AI, clinical, operational, financial, privacy, security, and business functions to enable enterprise transformation
Nice to have:
Graduate degree in a relevant discipline
Experience in a large, complex health care organization and with AI-enabled analytical capabilities, intelligent workflows, or other emerging decision-support technologies
Leadership Expectations
Inspiration: Create a meaningful and achievable vision for how trusted information can help AdventHealth deliver on its mission and care for people more fully. Help leaders and teams understand their role in building that future and why the work matters
Intentionality: Turn vision into clear choices about priorities, investments, organizational design, talent, standards, and sequencing. Establish accountability through leaders, surface risks early, learn from evidence, and adapt as the organization and technology evolve
Influence: Build trust and shared commitment across organizational boundaries. Align leaders and teams around common outcomes, navigate competing priorities, clarify ownership, and create progress through strong relationships, sound judgment, and credible delivery
About the Company
AdventHealth is a faith-based health care organization committed to whole-person care. It depends on information that people can trust, understand, and use.
