Technical Success Manager - Shields

Mayo ClinicRochester, MN
29d

About The Position

The primary purpose of this role is to serve as the point of contact for the data needs of cohort companies in the MCP Accelerate Program. The Technical Success Manager will establish and lead all data-related aspects of the Accelerate program. The position will be responsible for the following essential functions: Serving as the primary point of contact for all data-related questions from MCP Accelerate cohort companies. Address and triage data questions as they arise and facilitate coordination with data science support teams. Work directly with DSS team to make requisite data available for Accelerate tenancies. Work with Accelerate Program Success Managers and DSS team to onboard cohort companies. In partnership with MCP leadership, continuously improve the Accelerate program. Serve as a liaison to technical related internal and external partnerships. Assists with the creation and collection of metrics to ensure the success of the Accelerate Program. Advises and assists with strategic expansion of the Accelerate Program. Work with clinical mentors to validate the solution and provide understanding and direction on clinical workflow analysis. 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.

Requirements

  • 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.

Nice To Haves

  • MBA or master's degree in a related field is preferred.
  • Experience with startup companies is preferred.
  • PhD is preferred.

Responsibilities

  • Serving as the primary point of contact for all data-related questions from MCP Accelerate cohort companies.
  • Address and triage data questions as they arise and facilitate coordination with data science support teams.
  • Work directly with DSS team to make requisite data available for Accelerate tenancies.
  • Work with Accelerate Program Success Managers and DSS team to onboard cohort companies.
  • In partnership with MCP leadership, continuously improve the Accelerate program.
  • Serve as a liaison to technical related internal and external partnerships.
  • Assists with the creation and collection of metrics to ensure the success of the Accelerate Program.
  • Advises and assists with strategic expansion of the Accelerate Program.
  • Work with clinical mentors to validate the solution and provide understanding and direction on clinical workflow analysis.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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