Principal Technical Success Manager

Location: Rochester, MN, US, Remote

The Principal Technical Success Manager is the enterprise-level data, technical and use case expert for Mayo Clinic Platform Solution Developer Market. This role works with Solution Developer partners to defines and align prospect needs with MCP technical, data and services capabilities. In addition, the Principal TSM sets TSM operating standards across partners, and leads cross-program initiatives that improve data usability, governance clarity, and modeling workflows in Mayo Clinic Platform. The Principal TSM influences product and policy, represents the Solution Developer Market with internal partners, and creates durable capabilities that scale across programs. This is an SME role with direct customer engagement and significant cross-functional influence.

The position will be responsible for the following essential functions:

• Engage with prospects and customers at a data, technical and potentially clinical level to understand and define customer value proposition based on MCP capabilities.
• Work with prospects on scoping engagements.
• Define and maintain TSM standards (onboarding blueprint, milestone definitions, data capabilities, documentation standards) and audit adherence.
• Work with prospects to define data needs including initial analysis of MCP data assets. 
• Own the TSM capability roadmap with data services, and product leaders; publish/maintain artifacts on order to serve customers canonical cohort-building patterns and schema primers.
• Represent market in technical design for horizontal enablers (shared notebooks, data dictionaries, governance FAQs, imaging de-identification workflows).
• Represent MCP in platform governance and responsible AI forums; align practices with qualification/validation frameworks.
• Set program-level time-to-value targets (e.g., TTDA, first cohort) and publish quarterly results with improvement plans.
• Drive conversion-ready outputs and handoffs to downstream Mayo Clinic Platform offerings.
• Pilot/evaluate new modalities or tooling and institutionalize learnings through updated playbooks and training.
• Coach Senior/TSMs; run technical reviews for high-risk engagements; champion measurable outcomes and maintainable artifacts.

Minimum Education and/or Experience Required: 

• Presence and expertise to engage with prospects and technical / data teams.
• 7–10+ years in healthcare role focused in technical, analytics and/or data science/ML roles with demonstrated platform-level improvements.
• Graduate level degree preferred with focus in Public Health, MBA or relevant technical field
• Ability to shape product direction and governance in data-intensive programs; exceptional executive communication.
• Evidence of enterprise-scale pattern creation and cross-functional leadership.
• Occasional travel may be required for program events, internal workshops, or partner meetings.

Additional Experience and/or Qualifications:

• Leadership of multimodal AI data programs, and/or Real World Evidence engagements.
• Publications, talks, or internal white papers that influenced practice or policy.
• Proven ability to balance strategic leadership with hands-on execution, driving results while influencing and aligning cross-functional teams toward shared objectives.