Data and AI Governance Specialist

Franciscan Alliance, Inc.

3d•$108,659 - $149,392•Remote

About The Position

The Data & AI Governance Specialist at Franciscan Alliance establishes and operationalizes data and AI governance practices that support high-quality patient care, operational excellence, regulatory compliance, and strategic decision-making. The role connects clinical, business, analytics, and technology teams to help ensure data and AI assets are trusted, secure, compliant, and used responsibly across the organization. It supports enterprise data governance, metadata management, data quality monitoring, AI enablement, data catalog management, and self-service analytics. The specialist also implements, administers, and continuously improves the organization's data and AI governance capabilities. In partnership with Data Governance, AI Governance, Analytics, Information Security, Privacy, Compliance, and business stakeholders, the role designs, configures, and supports the platforms, tools, workflows, and automation used to govern enterprise data assets and artificial intelligence solutions. Franciscan Health is a healthcare organization focused on patient care, health, and wellness. With 11 ministries and access points across Indiana, it is one of the largest Catholic health care systems in the Midwest.

Requirements

Bachelor's degree in Business, Computer Science, Engineering, Information Systems, Public Health, or a related field.
At least 5 years of experience in data governance, analytics, business intelligence, data management, information governance, or related disciplines.
At least 3 years of experience gathering, documenting, and translating business requirements into technical and functional specifications.
At least 3 years of experience in data and/or AI governance areas, including responsible AI practices, risk management, or AI-related initiatives.

Nice To Haves

Master's degree in Business, Computer Science, Engineering, Information Systems, Public Health, or a related field.
At least 2 years of healthcare or healthcare analytics experience, including HIPAA, healthcare data privacy, and regulatory requirements.
At least 3 years of experience with Microsoft Purview, Collibra, Atlan, Informatica, ServiceNow, or similar governance-related technologies.
At least 2 years of experience with Epic EHR, including Clarity, Caboodle, Cogito, and healthcare data domains.
Certified Data Management Professional (CDMP) credential from DAMA.
IAPP Artificial Intelligence Governance Professional (AIGP) credential.

Responsibilities

Administer, configure, and optimize data and AI governance platforms, including data catalogs, metadata repositories, business glossaries, AI inventories, governance workflows, and stewardship tools.
Support the development, implementation, and adoption of enterprise data and AI governance policies, standards, procedures, controls, and best practices through governance technology and automation solutions.
Develop and maintain automated governance workflows for data stewardship, AI intake and review, issue management, approvals, policy compliance, and lifecycle tracking.
Maintain data catalogs, business glossaries, metadata, and data lineage information to ensure accurate documentation, transparency, and visibility of enterprise data assets.
Monitor data quality metrics, identify issues, coordinate remediation, and support continuous improvement initiatives that enhance the accuracy, consistency, and reliability of enterprise data.
Assist with AI governance processes, including AI inventory management, documentation, risk assessments, model reviews, monitoring, and compliance evaluations.
Develop governance dashboards, scorecards, metrics, and reporting capabilities that show governance activities, data quality performance, compliance status, and AI governance effectiveness.
Collect, document, and track AI use cases, and support evaluation, prioritization, and governance review of AI initiatives based on business value, risk, and organizational readiness.
Design and support integrations between governance platforms and enterprise systems to improve automation, traceability, monitoring, and adoption of governance practices.
Partner with Privacy, Security, Compliance, Legal, Analytics, and business stakeholders to assess risks, support governance reviews, and promote secure, ethical, and compliant use of data and AI solutions.
Provide governance training, guidance, and operational support to data owners, data stewards, analysts, and business users while promoting governance accountability and stewardship.
Support self-service analytics by enabling trusted, governed, and certified data assets while ensuring compliance with privacy, security, and regulatory requirements.
Serve as a liaison between business, analytics, AI, and technology teams to gather requirements, coordinate governance activities, resolve issues, and align governance capabilities with organizational objectives.