Senior Director Data and AI - Patient Outcomes and Discovery

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. As the only National Cancer Institute‑designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we envision.

Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times’ Top Workplaces.

The Senior Director, Clinical AI & Data Innovation leads Moffitt Cancer Center’s efforts to translate clinical, research, and business priorities into scalable AI‑ and data‑driven solutions that improve patient outcomes and advance oncology innovation. This role oversees the development and deployment of AI capabilities across clinical care and research, including clinical decision support, trial eligibility, quality optimization, and integration with platforms such as Onco Fabric and MCAP.

The role also assumes responsibility for clinical data strategy, orchestration, and advanced analytics, including oversight of Cancer Registry and clinical/research data functions. In parallel, this leader drives data innovation and commercialization by leveraging Moffitt’s deep, multi‑modal oncology datasets to develop strategic partnerships and data‑driven products. This includes identifying market opportunities, supporting collaborations with pharma, biotech, and technology organizations, and advancing data monetization and intellectual property strategy.

Success in this role requires the ability to bridge clinical expertise, data science, and business strategy while leading cross‑functional teams and delivering measurable impact at the pace of clinical and market demand.

Senior Director Data and AI - Patient Outcomes and Discovery

Minimum Education Level: Master’s Degree

Minimum Field of Study: Biomedical Informatics, Health or Clinical Informatics, Data Science, Computer Science, Business Analytics, Computational Biology, or a related quantitative or clinical discipline.

Preferred Education Level: Ph.D.

Preferred Field of Study: Clinical, computational, or life sciences field, or an MBA with a strong quantitative and data‑focused background.

No required licensure or certification.

• Strong foundation in AI/ML and data science concepts, with the ability to evaluate, guide, and translate technical solutions across clinical, research, and commercial use cases (e.g., predictive modeling, NLP, multi‑modal data, and real‑world data applications).
• Understanding of healthcare data environments and governance, including HIPAA, data use agreements, de‑identification, and responsible/ethical AI deployment (e.g., bias mitigation, model validation, explainability).
• Familiarity with clinical and research workflows, including EHR systems (e.g., Epic), clinical trials, and healthcare interoperability standards (FHIR, DICOM).
• Experience with modern data and AI platforms and tools (e.g., Snowflake, Databricks, Python/R, cloud ecosystems) and data‑sharing frameworks.
• Ability to bridge disciplines by translating clinical, technical, and business needs into actionable strategies, including AI use cases, data products, or partnerships.
• Understanding of data commercialization and innovation, including elements of product strategy, partnerships, IP considerations, and the value of real‑world data and multi‑modal datasets.
• Strong executive presence, communication, and stakeholder engagement skills, with the ability to influence clinical leaders, researchers, executives, and external partners (e.g., pharma, biotech, technology).
• Demonstrated strategic thinking, problem‑solving, and change leadership in complex, regulated environments, with a focus on advancing patient outcomes and data‑driven innovation.

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• Moffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity,…