Technical Success Manager - Data

The Technical Success Manager works with Mayo Clinic Platform prospective and current clients, including executives, technical leaders, engineers, clinicians, and data scientists to understand the technical offerings of Mayo Clinic Platform, learn to use our data science and deployment tools, and achieve success in Mayo Clinic Platform programs. The Technical Success Manager also works to provide feedback on MCP products and services, especially translating client feedback into recommendations for tangible product improvements. The position will be expected to establish effective working relationships with a variety of individuals throughout the institution.The Technical Success Manager is a role blending knowledge of real-world healthcare data, data science, and deep communication skills to enable the success of Mayo Clinic Platform clients. The primary purpose of this role is to serve as the point of contact for prospective and current clients of Mayo Clinic Platform programs. Responsibilities include understanding the technical requirements of prospective Mayo Clinic Platform clients, explaining the benefits and limitations of Mayo Clinic Platform data and tools, training users on data science tools and functionality, and serving as the technical relationship manager for current clients. Technical Success Managers establish and lead all client-facing, technical aspects of Mayo Clinic Platform programs. The position will be responsible for the following essential functions:Serve as the primary point of contact for prospective clients. This includes both review of client materials and responding to questions. Topics may include: technical, data, Mayo Clinic Platform tools, and programmatic capabilities and limitations. Address and triage data and technical questions as they arise and facilitate coordination with research and development teamsLead onboarding and training of clients to data science environment and deployment tools in partnership with the Services team.In partnership with MCP leadership, continuously improve Mayo Clinic Platform programs.Serve as a liaison to technical related internal and external partnerships.Assist with the creation and collection of metrics to ensure the success of the Mayo Clinic Platform programs.Advise and assist with strategic expansion of Mayo Clinic Platform programs. The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added or assigned. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits HighlightsMedical: Multiple plan options.Dental: Delta Dental or reimbursement account for flexible coverage.Vision: Affordable plan with national network.Pre-Tax Savings: HSA and FSAs for eligible expenses.Retirement: Competitive retirement package to secure your future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.Equal OpportunityAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Minimum Education and/or Experience Required: A Bachelor’s degree in Business or related field relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered. Incumbent must have a demonstrated understanding of the technology industry and understanding of new technology opportunities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data. Must demonstrate the skill to communicate technology- and data- derived product solutions to advance medical care. Must possess excellent verbal and written communication skills with the ability to interact with a variety of different people with diverse backgrounds. Requires strong relationship skills and the ability to manage several client accounts simultaneously. Must possess qualities which indicate the ability to mentor, train, and supervise employees. Must demonstrate the ability to think at a strategic level on optimizing or improving the MCP Accelerate Program. Must have ability and confidence to effectively function both dependently and independently, be a team player and a self-starter. Ability to effectively present to internal and external groups at a high-level representing Mayo Clinic Platform. Must be an initiative taker, eager to break new ground and create opportunities for others. Experience with CRM and other engagement management tools.Additional Experience and/or Qualifications:Academic publications leveraging real world healthcare data is preferred.Master’s degree in a related field such as Computer Science, Data Science, Engineering, Informatics, Public Health, or Business is preferred. Experience working with healthcare datasets compiled from multiple sources in clinical practice or healthcare operations is preferred. Experience analyzing data or developing algorithms from real world healthcare data is preferredExperience working with both clinical and technical stakeholders is preferred. Full timePosting Date: 2026-08-03