Chief Data & Artificial Intelligence Officer and Vice President

Title:
Chief Data & Artificial Intelligence Officer and Vice President

Job Type:

RegularCompany:
Roswell Park Comprehensive Cancer CenterDepartment:
Information TechnologyTime Type:
Full timeWeekly Hours:
40FTE:
1Shift:
First Shift (United States of America)

Summary:
The Chief Data & Artificial Intelligence Officer (CDAIO) and Vice President is an executive responsible for defining and executing the enterprise data and AI strategy to advance clinical care, research innovation, and operational excellence within our National Cancer Institute (NCI)-designated comprehensive cancer center.

This role serves as a strategic integrator across clinical, research, and administrative domains, ensuring that data ecosystem technologies, advanced analytics, and artificial intelligence are deployed ethically, securely, and at scale to drive measurable improvements in patient outcomes, safety, quality, access, experience, administrative efficiencies and effectiveness, and scientific discovery.

The CDAIO operates as an advisor to executives and a transformation leader, bridging clinicians, scientists, and operational leaders while overseeing enterprise capabilities spanning:
- Data ecosystem across all data platforms
- Data governance and associated interoperability
- AI/ML, LLMs, agentic and gen AI, and advanced analytics
- Cybersecurity and digital trust assurance
- Patient engagement, electronic health record system and associated applications and modalities, oncology-specific data, and AI-enabled care delivery and research.

The role is accountable for establishing a digitally data-enabled, risk-assured AI-powered cancer center that accelerates translational research, personalizes oncology care, and enhances system-wide efficiency and effectiveness. The CDAIO is accountable for translating these capabilities into measurable, quantifiable value—improving quality, safety, access, experience, cost efficiency, and growth—and for demonstrating a clear return on investment across the enterprise.

The starting annual salary for this position is $152,241 commensurate with experience. This can include a full comprehensive state benefits package.

Key Relationships
Reports to: Deputy Director (directly)
Chief Digital and Information Officer (matrix reporting)

Direct reports: Two direct reports at a minimum; likely a team of 15-20 FTEs

Other key relationships:
President and CEO

Other executive leaders:
Board of Directors
Clinical Department Chairs
Research Program Leaders
Governance Committees

Qualifications:Required Education and Experience

License Requirement
Recognized licensure, if required, to perform the functions of the position.
Education and Experience
1. Doctoral degree and the equivalent of six (6) years of progressively responsible senior-level experience including eighteen (18) months experience in a supervisory, administrative, consultative, managerial or executive capacity; or
2. Master’s degree and the equivalent of eight (8) years of progressively responsible senior-level experience including eighteen (18) months experience in a supervisory, administrative, consultative, managerial or executive capacity; or
3. Bachelor’s degree and the equivalent of ten (10) years of progressively responsible senior-level experience including eighteen (18) months experience in a supervisory, administrative, consultative, managerial or executive capacity; or
4. Any combination of education/experience/training that demonstrates the ability of the individual to perform executive-level duties and fulfill the responsibilities of the Vice President. However, all candidates must possess a minimum of a Bachelor’s degree and have the equivalent of at least eighteen (18) months’ experience in a supervisory, administrative, consultative, managerial or executive capacity; stated in 1, 2, or 3 above.

NOTE:
Degrees must be conferred by an accredited school, college, or university, or by an institution recognized by Roswell Park Comprehensive Cancer Center and/or Health Research Incorporated as adhering to acceptable educational standards.

• Doctoral degree in data science, biomedical informatics, statistics or a related field and the equivalent of eight (8) years of full-time experience in healthcare data, analytics, informatics or AI including two (2) years experience in a supervisory consultative, managerial or executive capacity; or
• Master’s degree in data science, biomedical informatics, statistics or a related field and the equivalent of ten (10) years of full-time experience in healthcare data, analytics, informatics or AI including two (2) years experience in a supervisory consultative, managerial or executive capacity.
• Demonstrated experience in an academic medical center, cancer center, or research-intensive environment.
• Enterprise data ecosystem leadership across clinical, research, and operations.
• Ability to align data and AI  initiatives with oncology strategy and mission outcomes.
• Executive-level influence and cross-functional orchestration.
• Ability to translate emerging technologies into measurable business and clinical value.
• Deep understanding of Machine learning, generative AI, and predictive analytics, Data platforms, data engineering, and MLOps/LLMOps concepts (conceptual oversight).
• Proven ability to identify high-value AI use cases (clinical, research, operations) and evaluate ROI and scale AI solutions safely.
• Experience with AI governance, bias mitigation, and model oversight frameworks.
• Strong knowledge of oncology workflows, clinical trials, translational science and integration of AI into clinical decision support and precision medicine.
• Ability to bridge EHR ecosystem, research data platforms, clinical trials and registries, translational research, and basic science research.
• Expertise in digital front door, patient portals, CRM, AI scribe engagement platforms and virtual care, remote patient monitoring, digital navigation, especially as to AI adoption.
• Ability to implement capable and mature enterprise data governance programs, data stewardship and quality frameworks and responsible AI and ethical review processes.
• Deep familiarity with cloud platforms, interoperability frameworks, e.g., federal interoperability requirements, FHIR, Smart on FHIR, APIs, HL-7, and Direct Messaging, FDA AI/Software as a Medical Device and enterprise architecture and data platform strategies, tools, tactics, and compliance requirements.
• Experience with workflow redesign and automation and financial/ROI modeling for digital investments.
• Ability to deliver measurable improvements in cost, throughput, and clinician and research investigator efficiency.
• Proven track record of partnering with industry, startups, research, life sciences, and academia and leading innovation pipelines, pilots, and scaling programs.
• Participation in National collaboratives, AI consortia, and research networks.
• Strong ability to communicate complex AI/digital topics to boards and clinical leaders and influence enterprise priorities and investments.
• Skilled at translating strategy into execution roadmaps.