Manager Data Science

## Manager Data Science Apply:
Virtual (Remote Eligible Position ):
Clinical Support Building:
Full time:
Posted Today:
R-4991### 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 Manager, Data Science leads the day-to-day activities of the data science team in the development, implementation, and support of advanced analytics products, models, and decision-support solutions that improve research, clinical, and operational outcomes. This role translates business needs into actionable analytics work, supervises data scientists, and ensures the delivery of high-quality, scalable, and compliant analytical solutions.

The Manager will partner with the department Director, Information Technology, and business stakeholders to advance analytics capabilities, support the analytics platform, and operationalize data science solutions that create measurable organizational value. This role also helps turn ambiguous business scenarios into clear use cases, analytic questions, and prioritized work for the team.
** Lead advanced analytics that improve research, clinical, and operational outcomes.*
* ** Join Moffitt Cancer Center’s Data and AI Services division to lead the day-to-day work of a talented data science team.
** You will translate complex business needs into prioritized analytics work, guide the development of scalable and compliant models and decision-support solutions, and partner across Information Technology, research, clinical, and operational teams to create measurable organizational value.  
** Position Highlights
*** Lead a data science team that develops, implements, and supports advanced analytics products, models, tools, and decision-support solutions.
* Partner with Data and AI Services, Data Quality & Standards, AI Technology Delivery, Data Engineering, Enterprise Architecture, and business stakeholders to advance analytics capabilities and operationalize solutions.
* Shape analytics architecture, reusable data products, governed workflows, and model monitoring practices that support reliable, scalable delivery.
* Work in an office/remote environment while supporting analytics across clinical, research, and operational domains.  
** The Ideal Candidate
*** An experienced data science leader who can turn ambiguous business challenges into clear use cases, analytical questions, and prioritized work plans.
* A collaborative people manager who coaches technical teams, establishes accountability, removes barriers, and builds an engaged, high-performing culture.
* A strong communicator who can explain complex analytical concepts, risks, status, and outcomes to executive, business, and technical audiences.
* A strategic partner with sound knowledge of data governance, analytics lifecycle management, privacy, security, compliance, and cross-functional delivery.  
** Responsibilities
* ** Lead and supervise data scientists, including day-to-day assignments, priorities, deliverables, performance expectations, coaching, onboarding, training, and professional development.
* Oversee the design, development, testing, documentation, implementation, support, monitoring, evaluation, and continuous improvement of advanced analytical models and solutions.
* Guide the selection of statistical techniques, machine learning approaches, feature engineering, natural language processing, and model operationalization practices based on business needs.
* Partner with technical teams to support analytics architecture, data pipelines, curated datasets, reusable analytical assets, deployment, maintenance, and secure analytics workflows.
* Engage leaders, project sponsors, and data consumers to define scope, prioritize work, align solutions to organizational goals, and improve decision support.
* Contribute to analytics strategy, roadmaps, governance forums, and opportunities to expand the value and efficiency of data science across the organization.  
** Credentials and Qualifications
***** Required
* *** Master’s degree in Data Science, Computer Science, Statistics, Bioinformatics, Health…