Technical Success Manager - Shields

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.

• 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.

The primary purpose Zuschauer of this role is to serve as the point of contact for the data needs of Mayo Clinic staff (scientists, clinicians, administrators, etc) creating new insights, conducting research, and/or developing new AI models with Platform de‑identified data and data science tools. The Technical Success Manager will establish and execute on all data‑related aspects of the Shields Enablement Program.

The Shields Enablement program is how we bring platform thinking, data, and tools to the staff of Mayo Clinic.

The position will be responsible for the following essential functions:

• Serving as the primary point of contact for all data‑related questions from Mayo Clinic users.
• Address and triage data questions as they arise and facilitate coordination with data science support teams.
• Work directly with data science support team to make requisite data and tools available for Mayo Clinic data science work spaces.
• Work with Platform services, data, and shieldenenable staff to onboard new users and execute discovery projects.
• Serve as a liaison to technical related internal and external partnerships to co‑develop models, collaborative research, and new discovery of insights.
• Assist with the creation and collection of metrics to ensure the success of the Shields Enablement Program.

Theырха 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.

A Bachelor’s degree in Business or related field (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 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 Shields Enablement Program. Must have ability and confidence to effectively function both dependently and independently, be a team 있습니다, 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.

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

Exempt

$125,400 - $181,800 / year

Yes

Full Time

80

Monday…