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Data Governance Manager Jobs in Utah (NOW HIRING)

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Support data classification, lineage, metadata management, and governance initiatives * Implement secure access controls and data protection practices aligned with enterprise standards * Partner with ...

$120 - $180/hr

Own and maintain assigned components of the privacy and compliance governance frameworks, including data inventories, privacy impact assessments, issue management, complaint governance, regulatory ...

Associate Technical Product Manager

Draper, UT · On-site

$156K - $180K/yr

Steward Data Governance -- Support the intake, definition, and lifecycle management of business metrics and governance protocols, ensuring adherence to compliance and audit standards.Drive Data ...

New

Associate Technical Product Manager

Draper, UT · On-site

$156K - $180K/yr

Steward Data Governance -- Support the intake, definition, and lifecycle management of business metrics and governance protocols, ensuring adherence to compliance and audit standards.Drive Data ...

New

Support CAD-to-GIS data conversion workflows in partnership with the CAD Manager, ensuring geometric and attribute accuracy upon ingestion. Data Governance & Quality Control * Establish and enforce ...

Support CAD-to-GIS data conversion workflows in partnership with the CAD Manager, ensuring geometric and attribute accuracy upon ingestion. Data Governance & Quality Control Establish and enforce ...

Support CAD-to-GIS data conversion workflows in partnership with the CAD Manager, ensuring geometric and attribute accuracy upon ingestion. Data Governance & Quality Control Establish and enforce ...

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Partner with data governance to implement MCP servers, metadata management, data cataloging, lineage, governance, and access controls that improve discoverability and trust of enterprise knowledge.

Showing results 41-60

Data Governance Manager information

See Utah salary details

$19

$49

$78

How much do data governance manager jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data governance manager in Utah is $49.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.97 and $61.06 per hour, depending on experience, location, and employer.

What is a data governance manager?

Data Governance Managers are professionals responsible for developing, implementing, and maintaining an organization's data governance policies and strategies. They ensure data quality, integrity, security, and compliance with relevant regulations. Their work involves collaborating with various departments to establish data standards, oversee data lifecycle management, and address data-related issues. By doing so, they help organizations maximize the value of their data while minimizing risks.

What are some common challenges faced by data governance managers when implementing new policies across an organization?

Data Governance Managers often encounter challenges such as resistance to change from stakeholders, varying data practices across departments, and the need to balance data accessibility with compliance requirements. Building consensus and securing buy-in from leadership and end-users is essential, as is ensuring that policies are clearly communicated and aligned with business goals. Addressing these challenges typically involves strong collaboration, continuous education efforts, and the development of practical, user-friendly governance frameworks.

What are the key skills and qualifications needed to thrive as a data governance manager, and why are they important?

To thrive as a Data Governance Manager, you need expertise in data management frameworks, data quality assurance, and regulatory compliance, typically supported by a degree in information management or a related field. Familiarity with data governance tools such as Collibra or Informatica, and certifications like CDMP (Certified Data Management Professional), are often required. Strong leadership, communication, and stakeholder management skills distinguish top performers in this role. These competencies ensure that organizational data is accurate, secure, and effectively leveraged for business value and regulatory adherence.

What is the difference between Data Governance Manager vs Data Analyst?

AspectData Governance ManagerData Analyst
Required CredentialsBachelor's degree in Information Management, Data Science, or related fields; certifications like CDMP or DAMA-DMBOKBachelor's degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentOversees data policies, compliance, and data quality; collaborates with IT and managementAnalyzes data sets, creates reports, and provides insights; works with business teams and IT
Employer & Industry UsageCommon in finance, healthcare, and large enterprises focusing on data complianceWidely used across industries for business insights and decision-making

The Data Governance Manager focuses on establishing data policies, ensuring compliance, and managing data quality, while the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong data skills but serve different functions within organizations.

Is data governance a good career?

Data Governance Managers oversee policies and standards for managing data quality, security, and compliance within organizations. The role requires strong analytical skills, knowledge of data management tools, and often certifications like CDMP or DAMA-DMBOK. It is a growing field with increasing demand due to the importance of data privacy and regulatory requirements.

What are the most commonly searched types of Data Governance jobs in Utah?

The most popular types of Data Governance jobs in Utah are:

What are popular job titles related to Data Governance Manager jobs in Utah?

For Data Governance Manager jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Governance Manager jobs in Utah look for?

The top searched job categories for Data Governance Manager jobs in Utah are:

What cities in Utah are hiring for Data Governance Manager jobs?

Cities in Utah with the most Data Governance Manager job openings:

Infographic showing various Data Governance Manager job openings in Utah as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $103,727 per year, or $49.9 per hour.

$99K - $135K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Job description

ABOUT THIS POSITION

Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud Platform (GCP).
This is a senior individual contributor role focused on designing, building, and optimizing scalable data solutions that enable analytics, reporting, governance, and AI initiatives across the enterprise. The ideal candidate is a hands-on engineer with deep technical expertise in cloud data platforms, data modeling, ELT development, and modern engineering practices.
You will work across the full data lifecycle, from data ingestion and transformation to orchestration, quality, observability, and governance, helping deliver trusted and scalable data products that support business decision-making.

WHAT YOU'LL DO

Data Pipeline Development & Optimization

  • Design, build, and maintain scalable ELT pipelines into BigQuery using Fivetran, APIs, Python, and cloud-native services
  • Develop and optimize bronze, silver, and gold data layers following Medallion Architecture principles
  • Create and maintain reusable dbt models that support enterprise reporting, analytics, and self-service use cases
  • Design and implement scalable ingestion patterns for structured and semi-structured data
  • Troubleshoot and resolve complex data pipeline, transformation, and performance issues
  • Improve pipeline reliability, performance, scalability, and maintainability

Data Modeling & Analytics Enablement

  • Design and implement scalable data models supporting business intelligence, analytics, and operational reporting
  • Partner with business analysts, product owners, and stakeholders to understand and translate requirements into technical solutions
  • Develop reusable business-focused datasets and metrics aligned with enterprise standards
  • Support semantic modeling and reporting initiatives across business domains
  • Contribute to the standardization of enterprise metrics and reporting assets

Data Quality, Observability & Reliability

  • Implement automated data validation, testing, and data quality checks
  • Develop monitoring, alerting, and observability capabilities across the data platform
  • Investigate and resolve data anomalies, processing issues, and performance bottlenecks
  • Support operational excellence through logging, incident analysis, and root cause investigations
  • Ensure data consistency, accuracy, and reliability across ingestion and transformation processes

Platform Engineering & Automation

  • Develop and maintain orchestration workflows using Cloud Composer (Managed Airflow)
  • Contribute to CI/CD pipelines using GitHub and modern deployment practices
  • Support Infrastructure-as-Code initiatives using Terraform and platform automation tools
  • Improve engineering efficiency through automation, reusable components, and standard development patterns
  • Participate in platform optimization and modernization initiatives

Data Governance & Security

  • Support data classification, lineage, metadata management, and governance initiatives
  • Implement secure access controls and data protection practices aligned with enterprise standards
  • Partner with Data Governance teams to improve data discoverability and trust
  • Ensure compliance with regulatory, privacy, and security requirements
  • Contribute to documentation and operational standards for enterprise data assets

Collaboration & Continuous Improvement

  • Collaborate with engineers, architects, analysts, and business stakeholders across multiple domains
  • Participate in technical design reviews and engineering discussions
  • Perform peer code reviews and support engineering quality standards
  • Contribute to documentation, knowledge sharing, and reusable engineering practices
  • Evaluate new technologies and recommend platform improvements where appropriate

WHAT YOU'LL NEED

  • Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field
  • 5+ years of experience in Data Engineering or a related technical discipline
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Advanced expertise in BigQuery
  • Strong experience with dbt and modern ELT development practices
  • Advanced SQL development and query optimization skills
  • Strong Python programming experience
  • Experience building scalable data pipelines and transformation frameworks
  • Experience working with APIs and data integration patterns
  • Experience with workflow orchestration tools such as Airflow or Cloud Composer
  • Experience with GitHub, source control, and CI/CD development practices
  • Strong understanding of dimensional modeling and analytics engineering concepts
  • Strong troubleshooting, problem-solving, and analytical skills
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience supporting enterprise-scale data modernization programs
  • Experience migrating workloads from Snowflake, Azure, SQL Server, Teradata, or other platforms to BigQuery
  • Experience with Terraform and Infrastructure-as-Code practices
  • Familiarity with Google Dataplex, Knowledge Catalog, or metadata management solutions
  • Experience with Cloud Run, Cloud Functions, or serverless technologies
  • Experience implementing data quality, testing, and observability frameworks
  • Experience supporting healthcare, payments, or regulated industry environments
  • Familiarity with Data Mesh and domain-driven data ownership concepts
  • Experience supporting AI, machine learning, or advanced analytics initiatives

Competencies Overview

  • Cloud Data Engineering (GCP / BigQuery) - Advanced
  • ELT Pipeline Development - Advanced
  • Data Modeling & Analytics Engineering - Advanced
  • SQL & Query Optimization - Advanced
  • Python Development - Advanced
  • Data Quality & Observability - Advanced
  • Data Governance & Security - Strong
  • Problem Solving & Troubleshooting - Advanced
  • Collaboration & Stakeholder Partnership - Strong
  • Delivery Execution & Accountability - Strong

Skills Overview

Core Technologies

  • Google Cloud Platform (GCP)
  • BigQuery
  • dbt / dbt Cloud
  • Fivetran
  • Python
  • SQL
  • GitHub
  • Cloud Composer (Managed Airflow)
  • Cloud Functions
  • REST APIs and Data Integration Frameworks
  • CI/CD Pipelines

Preferred Technologies

  • Terraform
  • Dataplex
  • Knowledge Catalog
  • Cloud Run
  • Snowflake
  • Azure Data Factory (ADF)
  • Data Quality & Observability Platforms
  • Metadata Management Solutions

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.