Senior Data Informatics Business Partner

The Senior Data Informatics Business Partner operates at the intersection of clinical practice business operations and enterprise data and analytics capabilities. This role provides essential informatics context and translation ensuring that data analytics AI and integration efforts are grounded in how information is created interpreted and acted on in realworld settings. By understanding clinical and operational workflows system touchpoints and data movement across environments the role helps align enterprise solutions with decisionmaking needs.

Serving as a key engagement point across multiple complex or interdependent domains the Senior Data Informatics Business Partner builds trusted relationships with physicians researchers and operational leaders. The role reframes needs and questions into structured outcome-oriented requests by guiding intent scope assumptions and success criteria. The position plays a critical role in translating enterprise expectations around data governance quality privacy responsible AI and control requirements helping teams understand how these considerations influence what is appropriate feasible and trustworthy in specific use cases.

This senior role will develop and maintain intake mechanisms including taxonomy and documentation that reflect outcomes success criteria assumptions and adoption needs. The position guides outcome definition assessment of feedback and evaluation of impact across clinical and business domains.

Core job duties include:

• Provide clinical and operational informatics context for data access integration and interoperability needs (e.g. workflows system touchpoints interoperability partners) beyond purely technical specifications.
• Analyze and interpret clinical and operational workflows to understand how data is generated transformed and used across systems providing context that ensures data analytics and integration efforts align with realworld decisionmaking and practice.
• Serve as a senior engagement and advisory point for complex clinical or business domains navigating competing priorities and guiding stakeholders toward shared outcomefocused requests.
• Advise stakeholders and delivery teams on the application of enterprise data governance quality standards privacy and responsible AI requirements across complex use cases identifying areas where policy interpretation or guidance refinement may be needed.
• Shape and document intake artifacts that clarify problem statements intended outcomes success measures assumptions constraints and adoption considerations ensuring requests are actionable and ready for delivery.
• Act as a liaison between business domains and Enterprise Data and Analytics delivery governance and enablement teams to maintain shared understanding throughout the intake and handoff process.
• Guide outcome definition and evaluation approaches for complex data and analytics initiatives helping ensure impact trust and adoption can be assessed consistently across domains.
• Ensure adoption and trust considerations (who will use outputs how they will be interpreted and what support is needed) are explicitly attached to intake and translation efforts.
• Identify and synthesize recurring intake patterns ambiguities or friction and provide recommendations that inform refinement of intake processes standards or governance guidance.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

Bachelors degree in healthcare clinical informatics informatics business public health information systems or a related field.

A minimum of 8 years relevant work experience and 3 years working closely with clinical research operational financial or administrative stakeholders in a consultative or partnershiporiented role.

• Experience working with or alongside data analytics AI governance or digital delivery teams in a healthcare or other regulated environment.
• Demonstrated ability to apply clinical or business informatics principles to translate domain needs into structured outcomeoriented data analytics or digital requests beyond traditional requirements gathering.
• Experience working in environments with multiple dataproducing systems including understanding of how data is created moved and used across workflows and applications to support reporting analytics or operations.
• Advanced knowledge of enterprise data governance data quality master data metadata management privacy and responsible AI concepts and the ability to advise how policies and standards apply in realworld contexts.
• Strong communication and facilitation skills including the ability to listen synthesize complex information clarify ambiguity tailor messaging to diverse audiences and guide stakeholders toward actionable outcomes.
• Demonstrated experience operating independently in ambiguous highimpact environments advising stakeholders on tradeoffs feasibility and appropriateness of data and analytics solutions.
• Background in clinical informatics informatics engagement business informatics or intake/translation roles supporting data analytics or digital initiatives.
• Experience influencing or shaping intake translation or governanceactivation practices beyond individual requests contributing to improved consistency or quality at a program or portfolio level.
• Experience working across complex system landscapes with endtoend data movement including understanding where data originates how it flows through pipelines and systems and how it is ultimately interpreted and acted on by users.
• Experience designing or contributing to measurement and evaluation frameworks that assess whether data analytics or AI solutions are achieving intended outcomes.