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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., UiPath, 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., UiPath, 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.

Moffitt Career Site

If you have the vision, passion, and dedication to contribute to our mission,

then we have a place for you!

• 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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