Location: Rochester, MN
Cap-Exempt H-1B Position — No lottery required
**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 Highlights** - 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. **Responsibilities** Mayo Clinic’s Cure.Connect.Transform. vision and strategy reflect Mayo’s distinctive strengths in innovation and excellence and is expected to secure Mayo’s role as the premier global healthcare provider. Mayo Clinic Platform (MCP) is tightly aligned in this journey aligning the strategy and approach toward these top priorities. This role is responsible for leading healthcare transformation efforts to bring Platform thinking and capabilities internally to Mayo Clinic staff – the Shields Enablement Program. The Sr Director, Shields Enablement will report to the Shields Enablement Administrator at Mayo Clinic Platform and will work collaboratively with key leaders across Mayo Clinic and Mayo Clinic Platform. The ideal candidate will lead a team to ensure overall success, growth and operations of the program. **Position Overview** The role is responsible for leading the growth and management to bring Platform capabilities in digital solution development and deployment capabilities and services internally to Mayo Clinic staff. Platform capabilities and services include but are not limited to: access to de-identified data, data analytic applications, data science wor