Senior VP, Chief AI, Data & Infrastructure Officer

Banner Health • Phoenix, AZ

3d

About The Position

The SVP, Chief AI, Data & Infrastructure Officer is the organization’s intelligence trailblazer—an architect of transformational change who unites cutting‑edge AI, enterprise‑grade data ecosystems, and modern infrastructure into a powerful engine for innovation. This leader turns possibility into performance, accelerating growth, enabling new business models, and propelling the company into a future where intelligence fuels every decision, interaction, and outcome. Your pay and benefits are important components of your journey at Banner Health. This opportunity includes the option to participate in a variety of health, financial, and security benefits. In addition, this position may be eligible for our Management Incentive Program as part of your Total Rewards package. Within Banner Health Corporate, you will have the opportunity to apply your unique experience and expertise in support of a nationally-recognized healthcare leader. We offer stimulating and rewarding careers in a wide array of disciplines. Whether your background is in Human Resources, Finance, Information Technology, Legal, Managed Care Programs or Public Relations, you'll find many options for contributing to our award-winning patient care. POSITION SUMMARY This position serves as a strategic enterprise leader responsible for advancing the organization’s artificial intelligence, data, infrastructure, and operational technology strategies. This senior leader role ensures that foundational technology and infrastructure, data, and AI capabilities enable clinical excellence, operational performance, and digital innovation aligned with Banner Health’s mission and growth strategy. As a senior member of the Technology Leadership Team, the CADIO partners closely with digital, engineering, and business leaders to build a secure, scalable, and intelligent technology ecosystem. This role drives the enterprise AI strategy, leading the development, implementation, and governance of AI capabilities that improve care delivery, decision-making, and workforce efficiency.

Requirements

• Strong knowledge of technology and healthcare operations as normally obtained through the completion of a Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field required.
• Fifteen years of progressive leadership experience in AI, data, or software engineering disciplines, including 5+ years in executive-level roles within healthcare, health tech, or other regulated industries.
• Proven success leading enterprise AI strategy, large-scale data platforms, and infrastructure modernization.
• Demonstrated ability to lead large teams, manage multimillion-dollar budgets, and deliver measurable ROI.
• Deep expertise in cloud, data architecture, AI platforms, and IT operations.
• Strong understanding of clinical, operational, and digital workflows within healthcare.
• Experience implementing responsible AI frameworks and enterprise data governance.
• Success in managing multimillion-dollar technology portfolios and delivering measurable performance improvement.
• Visionary, pragmatic, and collaborative leader who drives transformation through influence and alignment.
• Committed to fostering innovation, accountability, and a people-first technology culture.
• Skilled communicator who can engage effectively with C-suite executives, clinicians, and operational leaders.

Nice To Haves

• Master’s degree (MBA, MSCS, or equivalent) preferred.
• Additional related education and/or experience preferred.

Responsibilities

• AI Strategy and Implementation -Work closely with CTO to define and lead Banner Health’s enterprise AI strategy, ensuring alignment with clinical, operational, and digital transformation priorities. Partner with business and clinical executives to identify, prioritize, and scale high-value AI use cases that enhance care delivery, efficiency, and outcomes. Establish and mature AI platforms, frameworks, and governance models that support responsible, secure, and scalable AI deployment across the enterprise. Drive integration of AI and automation into clinical, operational, and administrative workflows to improve quality, reduce cost, and enhance workforce productivity. Champion ethical and transparent AI practices, ensuring compliance, explainability, and bias mitigation. Cultivate AI literacy and adoption across leadership and operational teams through education and change management initiatives.
• Data and Analytics - Define and lead the enterprise data and analytics vision and strategy, positioning data as a strategic asset that powers clinical excellence, operational agility, and innovation. Advance the evolution of the enterprise cloud data ecosystem, integrating diverse data sources, including clinical, operational, payer, and external data, into a unified, intelligent data platform that supports large-scale analytics and AI. Architect and modernize data platforms and pipelines to deliver real-time, high-quality, and interoperable data, leveraging modern paradigms such as data mesh, streaming, and serverless architectures for scalability and speed. Establish and own enterprise data governance and stewardship frameworks, ensuring data integrity, lineage, privacy, and compliance while enabling secure, democratized access through self-service analytics and governed data marketplaces. Drive advanced analytics capabilities, embedding predictive, prescriptive, and real-time insights into clinical, operational, and business workflows to enable data-driven decision-making and performance optimization. Lead the enterprise analytics portfolio, unifying clinical, operational, financial, and experience metrics into shared KPIs and dashboards that provide real-time visibility to executives and frontline leaders. Foster a data-driven culture by partnering with digital, clinical, and operational leaders to translate insights into measurable impact, optimizing care pathways, health outcomes, and resource utilization and workflows.
• Cloud, Infrastructure and Operations - Lead enterprise-wide cloud transformation and infrastructure modernization initiatives, including multi-cloud architecture, hybrid platform optimization, and data center exit strategies, to deliver resilient, scalable, and cost-efficient environments. Drive adoption of cloud-native technologies, infrastructure-as-code (IaC), and platform engineering practices to accelerate deployment, standardize environments, and enable self-service capabilities across teams. Advance AI and automation-driven operations (AIOps) and observability frameworks to enhance service reliability, predictive monitoring, and proactive issue resolution across cloud and on-premise systems. Partner with cybersecurity and network engineering teams to ensure secure, compliant, and high-performing multi-cloud and network environments, with embedded governance and cost optimization controls. Lead the enterprise IT Service Desk and end-user experience functions, transforming support through automation, analytics, and digital workflows to improve responsiveness, satisfaction, and operational efficiency. Manage physical technology infrastructure across hospitals and facilities, including network and cabling systems, hardware lifecycle management, and on-site connectivity standards. Oversee enterprise IT service delivery, system performance, and software asset management, driving operational excellence through automation, continuous improvement, and real-time insights. Champion a cloud-first culture that emphasizes agility, scalability, and innovation, enabling rapid response to evolving business, data, and AI workloads.
• Software Engineering - Lead enterprise software engineering and application modernization initiatives, ensuring delivery of secure, scalable, and interoperable solutions that enable business agility. Advance cloud-native, DevSecOps, and Agile engineering practices to accelerate delivery, improve quality, and support continuous innovation. Establish enterprise architecture governance and software standards, ensuring compliance with healthcare regulations (HIPAA, HITRUST) and data exchange protocols (FHIR, HL7). Partner with Digital Product, Data, and Infrastructure teams to ensure solutions are interoperable, secure, and optimized for performance across hybrid cloud environments (e.g., AWS, Azure). Oversee multi-channel application development (consumer web, mobile, and APIs) ensuring interoperability with enterprise systems such as EMR, data platforms, and business applications. Drive architectural governance and platform reusability to reduce complexity, optimize performance, and ensure long-term maintainability.
• Technology Management and Biomedical Devices - Provide executive leadership for technology management and biomedical engineering functions, overseeing the lifecycle of clinical and connected devices. Lead device refresh, replacement, and interoperability programs to ensure reliability, safety, and seamless data integration across care environments. Partner with clinical and operational leaders to pilot and scale emerging technologies, including robotics, automation, and intelligent devices, that enhance efficiency and patient outcomes. Align technology investments with Banner Health’s mission to deliver safe, innovative, and cost-effective care supported by next-generation device technologies.
• Technology Leadership and Collaboration - Partner closely with the Technology Leadership Team to ensure alignment, shared accountability, and cohesive execution across AI, data, digital, engineering, and infrastructure domains. Collaborate with clinical, operational, and administrative executives to ensure technology strategies directly advance systemwide goals for growth, quality, access, and experience. Serve as a visible technology and innovation ambassador across the organization and industry, representing Banner Health in executive, governance, and external forums. Champion cross-functional collaboration and enterprise alignment, ensuring that technology, data, and infrastructure initiatives deliver measurable business and clinical impact. Enable operations, clinical and research teams centralized infrastructure and distributed product ownership.
• Leadership and Talent Development - Build, mentor, and empower a high-performing, multidisciplinary leadership team spanning AI, data, infrastructure, engineering, and technology management disciplines. Foster a culture of innovation, inclusion, accountability, and excellence, empowering teams to challenge convention and deliver meaningful outcomes. Champion professional growth and succession development, cultivating future technology and data leaders through mentoring, career development, and leadership readiness initiatives. Define clear performance metrics and capability frameworks to ensure operational excellence, innovation, and continuous improvement across all technology functions. Serve as a trusted advisor and strategic partner to executive leadership, guiding technology investment decisions and ensuring they align with enterprise value and long-term organizational success.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Number of Employees: 5,001-10,000 employees