Senior Director Data and AI Business Operations

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. Summary The Senior Director, Enterprise Automation & AI is a strategic leader responsible for advancing Moffitt Cancer Center’s enterprise-wide automation and operational AI initiatives.

Serving as the business-side demand and value-realization lead for the Integrated AI Strategy, this role focuses on identifying, prioritizing, and scaling high-impact automation opportunities across revenue cycle, scheduling, HR, finance, and other non-clinical operations. The position partners closely with Information Technology and Enterprise Data Science to enable self-service analytics, business intelligence, and data-driven decision-making across the organization, while maintaining clear accountability for business outcomes rather than platform ownership.

This leader drives enterprise prioritization, cross-functional execution, and measurable ROI from AI, automation, and data initiatives. They serve as the primary business sponsor for data quality and enterprise reporting capabilities and lead a cross-functional team delivering scalable solutions in complex healthcare environments.

Success in this role requires deep expertise in process optimization, automation, and applied AI, combined with strong leadership and the ability to translate operational needs into technology-enabled outcomes at enterprise scale. The Senior Director, Data and AI Business Operations is a strategic leader responsible for advancing Moffitt Cancer Center’s enterprise-wide automation and operational AI initiatives.

Serving as the business-side demand and value-realization lead for the Integrated AI Strategy, this role focuses on identifying, prioritizing, and scaling high-impact automation opportunities across revenue cycle, scheduling, HR, finance, and other non-clinical operations. The position partners closely with Information Technology and Enterprise Data Science to enable self-service analytics, business intelligence, and data-driven decision-making across the organization, while maintaining clear accountability for business outcomes rather than platform ownership.

This leader drives enterprise prioritization, cross-functional execution, and measurable ROI from AI, automation, and data initiatives. They serve as the primary business sponsor for data quality and enterprise reporting capabilities and lead a cross-functional team delivering scalable solutions in complex healthcare environments.

Success in this role requires deep expertise in process optimization, automation, and applied AI, combined with strong leadership and the ability to translate operational needs into technology-enabled outcomes at enterprise scale. Minimum Skills/Specialized Training Required Strong expertise in business process analysis and optimization, with the ability to identify automation opportunities and design scalable, future-state workflows Solid understanding of automation and AI concepts in operational settings (e.

g., RPA, intelligent automation, predictive analytics, and AI-enabled workflows) Experience with business intelligence and self-service analytics, including the ability to translate business needs into dashboards and insights that drive decision-making Familiarity with modern data and automation platforms and tools (e.

g., RPA solutions, BI tools, cloud ecosystems), with the ability to partner effectively with IT and data teams Demonstrated ability to build and communicate business cases, quantify ROI, and link automation and AI initiatives to financial and operational outcomes Strong program and project leadership skills, including managing multiple initiatives and driving execution in complex environments Understanding of healthcare operations, particularly areas such as revenue cycle, scheduling, or workforce management, strongly preferred Experience with change management and adoption, including stakeholder engagement, training, and driving sustained use of automation solutions Ability to translate operational challenges into technology-enabled solutions, working across business, technical, and data teams Strong analytical thinking and problem-solving skills, with the ability to turn data into actionable insights Strong executive presence, communication, and stakeholder management skills, with the ability to influence senior leadership and cross-functional partners Minimum Experience Required Minimum 8 years of progressive experience in enterprise automation, process engineering, AI deployment, data management, or operational analytics within healthcare or similarly complex environments.

3 years in a leadership role with responsibility for enterprise automation, RPA, AI implementation, or operational transformation initiatives Demonstrated track record of delivering measurable operational improvements and ROI through automation and AI (e.g., revenue cycle, scheduling, financial processes, or workforce optimization), including experience quantifying and reporting outcomes to executive leadership Experience leading cross-functional teams and driving adoption of automation and analytics solutions in environments requiring significant change management Experience working with automation and analytics technologies, including RPA platforms (e.

g., Ui. Path, Automation Anywhere, Power Automate), BI/analytics tools (e.g., Power BI, Tableau, Sigma), and process analysis or mining tools Familiarity with AI-enabled automation approaches, including intelligent document processing (IDP) and emerging AI/LLM-driven workflow orchestration Experience operating within complex, regulated environments, with an understanding of healthcare operations (e.

g., revenue cycle, scheduling, workforce planning) strongly preferred Proven ability to deliver results in a federated operating model, partnering effectively with IT, EHR, ERP/HCM, and data platform teams to drive business outcomes Minimum Education Bachelor's Degree Computer Science, Information Systems, Industrial Engineering, Data Science, Business Analytics, Health Systems Engineering, or a related discipline Preferred Education Master's Degree Data Science, Health Informatics, Engineering, or Business Administration with a technology or analytics focus LICENSURE/CERTIFICATION Recognized certifications in project delivery and process improvement (e.

g., Project Management Professional [PMP], Lean Six Sigma Black Belt or Green Belt) Relevant automation or RPA platform certifications (e.g., Ui. Path, Automation Anywhere, Microsoft Power Automate) Certifications in business intelligence, analytics, or data platforms (e.g., Microsoft Power BI, Tableau, Databricks, or equivalent) Salary Range $192,178.

48 - $289,057.60 Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job-related factors, including experience, skills, education, and internal equity among Team Members in similar positions. We are committed to maintaining fair and equitable pay practices and regularly review compensation to ensure alignment across our workforce.

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1. Equal Employment Opportunity 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, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.
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