[Hiring] Technical Success Manager @Mayo Clinic

Role Description

As a Technical Success Manager for Discovery Hub, you will serve as the point of contact for the data needs of Mayo Clinic staff (scientists, clinicians, administrators, and more) creating new insights, conducting research, and developing new AI models with Mayo Clinic Platform’s de-identified clinical data, data science tooling, and solution platform capabilities. You will play a key role in evaluating, scoping, and supporting research projects with respect to Mayo Clinic Platform data and capabilities.

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.
• Achieve success in Mayo Clinic Platform programs.

Responsibilities include:

• Serve as the primary point of contact for prospective clients, including review of client materials and responding to questions.
• Address and triage data and technical questions as they arise and facilitate coordination with research and development teams.
• Lead onboarding and training of clients to data science environment and deployment tools in partnership with the Services team.
• Continuously improve Mayo Clinic Platform programs in partnership with MCP leadership.
• 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 fields.
• A minimum of three years of professional or research experience in data science.
• Demonstrated understanding of the technology industry and new technology opportunities.
• 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.
• Ability to communicate technology- and data-derived product solutions to advance medical care.
• Excellent verbal and written communication skills with the ability to interact with diverse backgrounds.
• Strong relationship skills and ability to manage several client accounts simultaneously.
• Ability to mentor, train, and supervise employees.
• Strategic thinking on optimizing or improving the MCP Accelerate Program.
• Ability to 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.
• Initiative taker, eager to break new ground and create opportunities for others.
• Experience with CRM and other engagement management tools.

Requirements

• 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 preferred.
• Experience working with both clinical and technical stakeholders is preferred.

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.