Trusted, focused healthcare experts delivering value, innovation and improved performance
AI/Data Governance Epic, Enterprise Systems & AI Governance
Location
United States
Posted
85 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
AI/Data Governance Epic, Enterprise Systems & AI Governance
Impact Advisors
Impact Advisors, LLC is a nationally recognized healthcare management consulting firm delivering Best in KLAS advisory, implementation, and optimization services. We are driven by a commitment to exceed client expectations and are proud to be a trusted partner to many of the nation's leading healthcare organizations. Our mission to drive patient-centered, value-driven outcomes has earned us prestigious industry accolades. To learn more about us, visit www.impact-advisors.com The Data Governance Engagement Lead provides enterprise‑level leadership for data governance across Epic EHR and core enterprise systems ( HCM/Financials, ERP, supply chain, analytics platforms), with a specific mandate to establish and mature AI/data governance capabilities. This role is designed for a healthcare provider organization in the early‑to‑medium stages of AI adoption, where AI tools, predictive analytics, and automation are emerging but require formal governance, structure, and oversight. The Engagement Lead defines standards, operationalizes governance processes, and guides the organization from ad hoc AI usage toward consistent, responsible, and scalable practices. Enterprise & Epic Data Governance Leadership - Serve as a lead governance authority for clinical, operational, workforce, and financial data across Epic and enterprise platforms. - Define and enforce enterprise data standards, ownership models, and system‑of‑record decisions spanning Epic, ERP vendors, and downstream analytics platforms. - Partner with Epic application teams to govern data flowing through Clarity, Caboodle, and enterprise data warehouses, ensuring traceability and consistency. Governance Maturity Development - Lead the foundational build‑out of AI governance, moving the organization from informal or pilot-based AI usage toward documented, repeatable governance processes. - Establish baseline AI governance artifacts, including: - AI intake and use‑case documentation - Data source and provenance documentation - Risk, bias, and limitation awareness statements - Partner with analytics, data science, compliance, and operational leaders to ensure AI initiatives align with organizational goals, patient safety expectations, and regulatory requirements. Data Quality, Metadata, & Lineage (Cross-System) - Lead enterprise efforts to improve data quality, metadata, and lineage across clinical and non-clinical systems. - Ensure datasets supporting analytics and AI are well‑defined, validated, and fit for intended use. - Guide remediation of systemic data quality issues impacting reporting, AI performance, or clinical decision support. Enterprise Systems Governance - Provide governance leadership for enterprise system data including workforce, payroll, finance, supply chain, and organizational hierarchies sourced from Workday and ERP platforms. - Define integration governance between Epic and enterprise systems (e.g., provider attributes, staffing, cost centers). - Partner with HR and Finance leaders to establish consistent definitions and trusted enterprise reporting. Risk, Privacy & Regulatory Alignment - Ensure AI and data governance practices align with HIPAA, CMS, Joint Commission, and emerging AI oversight expectations. - Support governance controls to prevent “shadow AI” usage, unmanaged automation, or undocumented analytics operating outside approved workflows. - Collaborate with Privacy, Security, and Compliance teams to balance innovation with risk mitigation. Requirements - REQ: 7–10 years of experience in healthcare data governance, data management, analytics, or health IT. - REQ: Strong experience working with Epic EHR data and reporting environments (Clarity, Caboodle, or EDW). - REQ: Demonstrated experience establishing or maturing data governance or AI governance processes in organizations that are not yet fully mature. - OPT: Experience governing or supporting enterprise platforms such as Workday HCM/Financials, ERP, or other supply chain systems. - OPT: Experience operating within an AI governance maturity model - OPT: Exposure to AI oversight concepts such as model transparency, bias awareness, data provenance, and post-deployment monitoring. - OPT: Experience in large health systems, IDNs, or academic medical centers. - BA/BS in Health Informatics, Information Systems, Data Management, Healthcare Administration, or related field. - Master’s degree preferred by not required. - - Advanced understanding of healthcare data governance frameworks. - Working knowledge of SQL and analytic data structures. - Familiarity with AI governance concepts and emerging healthcare guidance (e.g., intake workflows, documentationstandards, risk assessments). - Ability to translate governance principles into practical, scalable operating processes. For salaried positions, this role may also be eligible for an annual performance bonus. Additional benefits and perks may also be available, depending on the position and employment terms. This range reflects consideration of several factors, including skills, experience, training, certifications, and organizational needs. Our People and Culture At Impact Advisors, we cultivate a caring, fun, honest, and autonomous work environment. Our success stems from our associates' dedication and a shared mission to create a “Positive Impact.” We embrace diversity and inclusion, fostering an environment where all employees feel valued and empowered. Join Impact Advisors and make a real difference in healthcare.
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