IT Senior Enterprise Architect, Data & Analytics - Remote

Job Description

The Senior Enterprise IT Architect – Data & Analytics position is 100% remote within the United States; incumbent may be asked to come onsite once a month.

At Mayo Clinic, data is more than an asset; it is a catalyst for discovery, healing, and transformation. We are seeking a Senior Enterprise IT Architect – Data & Analytics to join the Office of the CTO and lead the strategic evolution of our enterprise data ecosystem. In this highly visible role, you will define and champion modern data architecture that powers advanced analytics, real‑time insights, population health initiatives, clinical research, and operational intelligence across a global healthcare enterprise.

Your work will directly enable scalable, secure, and interoperable platforms that turn complex data into actionable outcomes for patients, clinicians, and researchers.

Takes overall responsibility for developing a key area with strategic impact or scope of Enterprise Architecture framework or practice. Provides guidance to Enterprise and IT Architects and serves as principal advisor to the Chief Architect and IT Executive Leadership on this key area. Monitors and incorporates industry trends, technical architecture and recommendations, and ensures technology objectives and solutions are aligned to the business mission, strategy, goals, and processes.

Establishes and communicates a technology vision within an Information Technology discipline and builds critical support across the organization through talks, articles, blogging, demonstrations, or interpersonal communication. Participates in major technical decisions, develops technical proposals, gains necessary institution approvals, and works effectively across departmental organizations to garner stakeholder consensus. Serves as a leader, consultant, mentor, or tutor in specific technical architecture areas, assigns tasks to staff based on workload, skill sets, technical knowledge, and task criticality, and serves on committees to establish technical standards, promote data integration, and coordinate projects.

Provides key input to short‑ and long‑term department strategy and budget planning. Must be customer focused and possess excellent communication and interpersonal skills to interact with a variety of personnel at all levels within and outside the institution.

• Bachelor’s degree and 10 years of experience including 8 years of demonstrated technical experience, 3 years of leadership experience, and a minimum of one year as a practicing Enterprise Architect or equivalent role; or Associates degree with 12 years of experience including 8 years of technical experience, 3 years of leadership experience, and a minimum of one year as a practicing Enterprise Architect.
• Advanced expertise in TOGAF ADM cycle, business modeling, data design, information systems design, systems integration, and service design.
• Advanced oral and written communication, organization, problem‑solving, facilitation, and meeting management skills.
• Advanced expertise in multiple technologies and project delivery through repeatable and reliable performance.
• Strong initiative and self‑motivation to complete tasks and assignments on time.
• Experience working in healthcare technology.
• Must be able to work independently and lead and mentor in a team environment.
• Master’s degree in applicable field preferred.

• Demonstrated ability to design and lead enterprise data and analytics architectures across hybrid cloud and on‑premises environments, supporting large‑scale structured and unstructured data platforms.
• Functional understanding of modern cloud data ecosystems including data lakes, lake houses, streaming platforms, and advanced analytics technologies, applying engineering principles to deliver resilient, secure, interoperable, and high‑performing data solutions.
• Proven experience developing enterprise data strategies, requirements, reference architectures, and executive‑level presentations, while anticipating and resolving complex technical challenges spanning integration patterns, governance, metadata, data quality, security, and analytics…