Data Governance Analyst Senior

Posted 6 Days Ago
Be an Early Applicant
Lake Park, FL, USA
In-Office
44-70 Hourly
Senior level
Healthtech
The Role
Designs and implements enterprise data governance processes covering metadata, reference data, data quality, semantic models, business glossaries, ontologies, taxonomies, and master data management. Partners with business owners, data stewards, architects, and engineers to define authoritative sources, business terminology, semantic structures, and governance standards. Supports AI, knowledge graph, analytics, and semantic-layer initiatives while analyzing moderately complex projects and facilitating cross-functional stakeholder alignment.
Summary Generated by Built In

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 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

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

Scheduled Weekly Hours:

40

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

$44.36 - $69.85

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.


Skills Required

  • Experience with data cataloging, data lineage, data classification, reference data management, and business glossary management
  • Experience with system and data integration via APIs
  • Experience with major Electronic Health Record (EHR) vendor solutions and backend data architecture and modeling
  • Advanced SQL skills
  • Proficiency in database design, ETL processes, and data mapping
  • Experience with data quality monitoring and data quality improvement
  • Ability to work effectively with colleagues across all organizational levels
  • Proficiency in PowerPoint, Excel, Word, and similar office software
  • Effective verbal, written, and interpersonal communication skills
  • Bachelor's or Master's degree in IT or an analytics-related field from an accredited institution
  • Experience in an analyst or engineer role working with data governance technologies and processes
  • Certification or training in data governance, such as DMBoK or CDMP
  • Experience developing conceptual, semantic, or data models representing complex business concepts, relationships, hierarchies, and business rules
  • Ability to analyze complex business terminology and translate requirements into definitions, taxonomies, ontologies, or semantic models supporting AI initiatives
  • Experience facilitating cross-functional stakeholder discussions to establish shared business meaning and enterprise information models

Intermountain Healthcare Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intermountain Healthcare and has not been reviewed or approved by Intermountain Healthcare.

  • Healthcare Strength — Healthcare Strength: Feedback suggests medical, dental, and vision coverage are comprehensive with multiple plan options, in‑network advantages, and supplemental protections like life, disability, and adoption coverage. Premium assistance and access to Intermountain’s network add perceived value.
  • Wellbeing & Lifestyle Benefits — Wellbeing & Lifestyle Benefits: Feedback suggests wellness resources such as Be Well/LiVe Well and the Employee Assistance Program provide meaningful support for physical and mental health. Reward dollars, peer support, and spouse/partner participation are highlighted as useful features.
  • Leave & Time Off Breadth — Leave & Time Off Breadth: Feedback suggests paid time off is broadly available and viewed as generous in some programs. Examples note substantial vacation and sick time for certain roles, supporting schedule flexibility.

Intermountain Healthcare Insights

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The Company
HQ: Salt Lake City, UT
19,912 Employees
Year Founded: 1975

What We Do

Intermountain Healthcare is a not-for-profit system of hospitals, surgery centers, doctors, and clinics that serves the medical needs of Utah, Idaho, Nevada, Colorado, Montana, and Kansas. Key medical services include cancer, heart, women and newborns, orthopedics, sports medicine, and more.

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