Technical Success Manager

City: Rochester
State: MN
Remote: YES

About the role

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

• Serve as the primary point of contact for prospective clients. This includes both reviewing 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 teams.
• Lead onboarding and training of clients in 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.

Qualifications

A Bachelor’s degree in Business or related 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. In lieu of a Bachelor's degree, 7 years of experience in a relevant field is required.

• 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.

Preferred qualifications:

• MBA or master’s degree in a related field.
• Experience with startup companies.
• PhD.
• Academic publications leveraging real-world healthcare data.
• Master’s degree in a related field such as Computer Science, Data Science, Engineering, Informatics, Public Health, or Business.
• Experience working with healthcare datasets compiled from multiple sources in clinical practice or healthcare operations.
• Experience analyzing data or developing algorithms from real-world healthcare data.
• Experience working with both clinical and technical stakeholders.

Benefits

• Medical: 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.

Pay

$127,961.60 - $185,515.20 / year

Schedule

• Full Time
• Hours/Pay Period: 80
• Schedule Details: Monday - Friday
• Travel: 10%+ travel may be required