Data Governance Analyst Senior

Intermountain Healthcare Inc.; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Intermountain Healthcare Inc. is seeking a Senior Data Governance Analyst to design, develop, and implement metadata, reference data, and data quality processes. You will work with stakeholders to standardize business terminology and align models with data architectures across systems.

Reporting to the Data Governance Manager, you’ll lead moderately complex initiatives. The role requires strong SQL, data governance experience, and collaboration across IT and business teams.

Qualifications

• Experience with data cataloging, data lineage, data classification, reference data management, and business glossary management.
• Experience with system and data integration via API.
• Experience with major EHR vended solutions and deep understanding of backend data architecture and data modelling.
• Advanced SQL skills and proficient knowledge about database design, ETL processes and data mapping.
• Experience with data quality monitoring and data quality improvement.
• Ability to work effectively with colleagues across all levels of the organization.
• Proficiency in PowerPoint, Excel, Word and strong communication skills.

Responsibilities

• Develop conceptual and semantic models for enterprise domains supporting operational, analytical, and AI use cases.
• Analyze and resolve ambiguous business terminology with stakeholders to establish precise definitions.
• Translate business concepts into computable semantic structures for MDM, analytics, catalogs, and AI solutions.
• Collaborate with owners, stewards, architects, and engineers to align models with data architectures.
• Maintain enterprise glossaries, ontologies, taxonomies, and reference-data structures for consistency.
• Identify authoritative sources, ownership boundaries, survivorship rules, and semantic relationships for critical data assets.
• Conduct domain discovery and business architecture analysis to understand processes and information needs.
• Support MDM initiatives by defining concepts and governance requirements for design and implementation.
• Define semantic requirements for AI and knowledge graphs to ensure enterprise meaning is consumable by humans and AI.

Skills

Advanced SQL

Data quality

Communication

Terminology disambiguation

Education

Bachelor's or Master's in IT or analytics

Tools

API integration

PowerPoint

Excel

Word

Job description

Job Description

The Senior Data Governance Analyst is responsible for designing, developing, and implementing processes related to metadata management, reference data management and data quality monitoring. This position is expected to have hands‑on experience with the technical solution selected for the Data Governance program and good understanding of Data Governance principles and processes.

This role will directly report to the Data Governance Manager, performing analysis on a variety of routine to moderately complex projects under general supervision and typically leading moderately complex initiatives or projects.

We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, Maine, Massachusetts, Minnesota, New York, Pennsylvania, Rhode Island, Virginia, Vermont, Washington.

Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings

Job Responsibilities

• 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.

Qualifications

Minimum

• 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 modelling
• 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

Preferred

• 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

Physical Requirements

• 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

Location

• Lake Park Building
• Work City: West Valley City
• Work State: Utah
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