Chief AI and Digital Transformation Officer - Trinity Health

Trinity Health•Livonia, MI

3d•Onsite

About The Position

This is a newly created enterprise leadership role at Trinity Health, a large Catholic health system. The Vice President, Chief AI & Digital Transformation Officer will lead the organization's AI vision, strategy, and transformation agenda to impact care delivery, operations, workforce productivity, and the colleague experience. This executive will serve as the seniormost AI thought leader, strategic architect, and catalyst for AI-enabled digital transformation. Working closely with the CEO and Executive Leadership Team (ELT), the role establishes and stewards the enterprise AI vision, strategy, and transformation roadmap to advance Trinity Health's mission and strategic priorities. The position drives enterprise alignment, responsible AI use, and AI literacy across the multi-state ministry. In partnership with other key leaders, the VP accelerates AI innovation and adoption, leads organizational change, and ensures responsible, effective, and scaled AI implementation. Success is measured by sustained, mission-aligned outcomes achieved through enterprise adoption, trust, and value realization.

Requirements

Bachelor's degree in business administration, healthcare administration, information technology, computer science, engineering, data science, or related field required.
Fifteen (15) years of progressively responsible leadership experience, including executive-level accountability in healthcare, technology, digital transformation, strategy, operations, analytics, or related disciplines.
Minimum seven (7) years leading enterprise-wide transformation initiatives across large, complex, matrixed organizations.
Demonstrated experience developing and executing AI, digital, analytics, automation, or technology-enabled business transformation strategies that delivered measurable organizational value.
Experience leading organizational change management, workforce adoption, and capability-building efforts associated with large-scale transformation.
Demonstrated experience establishing governance, risk management, compliance, and responsible AI or emerging technology frameworks.
Experience working with executive leadership teams, governing boards, and senior stakeholders to establish strategy, prioritize investments, and measure outcomes.
At least 25% travel (air / ground) required.

Nice To Haves

Master's degree (MBA, MHA, MS, or equivalent) required/preferred
Experience serving as a Chief AI Officer, Chief Digital Officer, Chief Transformation Officer, Chief Data & Analytics Officer, CIO, or comparable executive role.
Experience leading AI adoption in healthcare delivery, payer, life sciences, or highly regulated industries.
Experience with Epic, cloud platforms, advanced analytics, generative AI, machine learning, intelligent automation, and enterprise-scale data platforms.
Nationally recognized thought leadership in AI, digital transformation, healthcare innovation, or related fields.

Responsibilities

Set and champion a system-wide AI strategy aligned with clinical, operational, financial, and mission goals and strategy, integrating Catholic ministry ethics and values.
Translate ELT priorities into a multi-year AI vision and roadmap with measurable outcomes and ROI.
Serve as Trinity Health's seniormost AI thought leader to the CEO, ELT, and ministry stakeholders.
Establish a world-class AI strategy and organization that aligns with Trinity Health’s overarching enterprise vision.
Bridge communication gaps and foster cross-functional synergy to align AI initiatives across business units and functions.
Leverage a deep understanding of industry dynamics and Trinity Health’s core mission to pinpoint where AI can yield the greatest impact.
Develop and maintain a multi-year AI and Digital Transformation Roadmap that translates enterprise strategy into sequenced execution priorities, measurable milestones, and value realization targets.
Establish and lead a matrixed operating model for AI governance, balancing enterprise standards with regional flexibility.
Chair the AI oversight committee and evolve responsible-AI policies and programs addressing regulatory and compliance requirements.
Define decision rights across enterprise, regional, and local levels to enable scale and speed.
Establish effective collaboration among security, risk, compliance, legal, ethics, safety, mission, and clinical stakeholders.
Ensure enterprise AI management includes appropriate controls, monitoring, transparency, performance management, compliance reviews, and risk mitigation practices.
Establish mechanisms to continuously monitor AI integrity, fairness, reliability, and organizational compliance requirements.
Provide strategic direction and prioritization for the enterprise AI portfolio across a multi-state, matrixed system.
Establish transparent AI portfolio evaluation practices to estimate, measure, and foster accountability for the business value and ROI of AI initiatives.
Champion a balanced portfolio of AI investments that ensure sustainable, strategy and mission-aligned impact.
Establish enterprise processes and performance-management frameworks to monitor, measure, and communicate AI-enabled business outcomes and organizational value creation.
Conduct regular portfolio reviews and recommend acceleration, redesign, scaling, or discontinuation of initiatives.
Drive measurable AI-based outcomes in cost optimization, operational efficiency, clinical quality and patient outcomes, and workforce productivity.
Partner with clinical and operational leaders to identify, prioritize, and champion high-value AI use cases that advance the connected care experience.
Guide evidence-based validation and safe, responsible deployment of patient-facing AI solutions.
Champion the redesign of workflows, operating models, services, and care experiences to maximize the benefits of AI and digital technologies.
Set strategic direction across core domains: Clinical decision support, patient access and digital front door, revenue cycle, supply chain, workforce management.
Guide enterprise digital product and platform strategy across the patient journey, leveraging common platforms to scale effectively.
Champion AI integration across multiple environments and legacy systems.
Partner on AI-ready data infrastructure, including unified data models and real-time capabilities.
Partner with the CDAO to drive enterprise data stewardship, ethical data use, and data readiness for AI initiatives.
Maintain a comprehensive understanding of Trinity Health operations, care delivery models, and administrative functions.
Establish an internal and external AI ecosystem — building relationships with vendors, hyper-scalers, regulators, and industry associations.
Build a disciplined innovation pipeline to evaluate and champion emerging technologies.
Advise on AI investment strategy and business-case development.
Deliver transparent ROI and value realization reporting across system and ministry stakeholders.
Prepare and present strategic AI transformation recommendations, investment priorities, and value realization updates to executive leadership and governing bodies.
Develop and oversee execution of an enterprise-wide capability for AI literacy — equipping leaders, clinicians, and colleagues to understand and apply AI confidently and responsibly.
Foster and cultivate AI literacy across the enterprise, leading transformation efforts and developing change-management programs.
Build change-readiness, understanding, and capacity for change across every area.
Scale the readiness-and-activation capability that pairs colleague enablement with each new deployment.
Support workforce transformation and role redesign in response to AI adoption, in coordination with HR and operations.
Ensure scalable deployment and integration across regions, including post-merger alignment of platforms and capabilities.
Exercise enterprise leadership to support consistent adoption of approved AI capabilities across ministries and functions.
Ensure change management programs are integrated with transformation initiatives to accelerate adoption and sustain long-term behavioral and operational change.
Lead enterprise digital transformation efforts that leverage AI and related technologies to improve care delivery, operational performance, workforce effectiveness and consumer experience.
Promote innovative approaches that modernize processes and business models rather than simply automating existing practices.
Foster cross-functional collaboration to accelerate transformation initiatives across ministries, markets, and enterprise functions.
Translate emerging technology trends into practical organizational capabilities and business outcomes.