Data Governance Analyst Senior

• →Develop conceptual and semantic models for enterprise business domains, including entities, concepts, relationships, hierarchies, taxonomies, and business rules that support operational, analytical, and AI use cases.
• →Analyze and resolve ambiguous or conflicting business terminology by facilitating discussions with stakeholders to establish precise, consistent, and reusable business definitions.
• →Translate business concepts into computable semantic structures that can be implemented within MDM, analytics, data catalogs, semantic layers, knowledge graphs, and AI-enabled solutions.
• →Partner with business owners, stewards, architects, and engineering teams to align conceptual models with logical and physical data models while preserving business intent and meaning.
• →Establish and maintain enterprise business glossaries, ontologies, taxonomies, and reference-data structures that promote consistency across systems and domains.
• →Identify authoritative sources, ownership boundaries, survivorship rules, and semantic relationships for critical business data assets.
• →Conduct domain discovery and business architecture analysis to understand business processes, capabilities, lifecycles, decision points, and information requirements.
• →Support master data management initiatives by defining business concepts, relationships, and governance requirements that guide MDM design and implementation.
• →Define semantic requirements for AI, knowledge-graph, semantic-layer, and agent-enabled solutions, ensuring that enterprise meaning can be consumed consistently by both humans and AI systems.
• →Develop modeling standards, governance practices, and documentation to ensure semantic assets are governed, reusable, auditable, and maintained over time.

• Interact with others by effectively communicating, both orally and in writing
• Operate computers and other office equipment requiring the ability to move fingers and hands.
• See and read computer monitors and documents
• Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment

• Experience in performing key Data Governance work such as data cataloging, data lineage, data classification, reference data management, and business glossary management
• Experience with system and data integration via API
• Experience with major Electronic Health Record (EHR) vended solutions and deep understanding of the backend data architecture and data modeling
• Advanced SQL skills and proficient knowledge about database design, ETL processes and data mapping
• Experience with data quality monitoring data quality improvement
• Experience as a “team player” and the ability to work effectively with colleagues across and at all levels within the organization
• Proficiency in PowerPoint, Excel, Word, etc. and effective verbal, written and interpersonal communication skills

• Bachelor’s or Master's degree in IT or analytics related fields.  Degree must be obtained through an accredited institution. Education or experience is verified
• Experience in an analyst or engineer role working with data governance technologies and processes
• Certification or training in data governance or related areas (e.g., DMBoK, CDMP, etc.)
• Demonstrated experience developing conceptual, semantic, or data models that represent complex business concepts, relationships, hierarchies, and business rules.
• Proven ability to analyze and disambiguate complex business terminology and translate business requirements into computable definitions, taxonomies, ontologies, or semantic models that support AI initiatives.
• Experience facilitating cross-functional stakeholder discussions to establish shared business meaning, standard definitions, and enterprise-wide information models 

The hourly range for this position is listed below. Actual hourly rate dependent upon experience. 

We care about your well-being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.

Learn more about our comprehensive benefits package here.

By applying for a position with Intermountain, I acknowledge that I will comply with all applicable Intermountain policies and expectations. If applying for a remote or hybrid role, this includes remote work expectations related to confidentiality, information security, work schedules, conflicts of interest, and use of company equipment. I further acknowledge that outside employment or activities may not interfere with job responsibilities or create a conflict of interest with Intermountain. Actual or reasonably perceived conflicts may be grounds for disqualification from consideration or, if hired, corrective action up to and including termination of employment.

Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process.

All positions subject to close without notice.