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Metadata Manager Jobs in Orem, UT (NOW HIRING)

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Software Engineer III

Lehi, UT · Remote

$54 - $72.50/hr

... metadata, search, and integrations platform -- translating a highly detailed, document-centric ... managed as code through Terraform in Git); comparable cloud experience beyond AWS is welcome

This means structuring models, naming conventions, and metadata so natural-language querying ... Proven mentorship and standards-setting experience; formal management not required. Visa ...

Data Science

Provo, UT · On-site

$110K - $130K/yr

Evaluate which new signals (voting history, explicit ratings, content metadata, theatrical ... writing testable Python, managing data lifecycles (pipelines, feature stores, monitoring ...

This means structuring models, naming conventions, and metadata so natural-language querying ... Proven mentorship and standards-setting experience; formal management not required. Visa ...

Showing results 41-48

Metadata Manager information

See Orem, UT salary details

$23.9K

$71K

$119.5K

How much do metadata manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for metadata manager in Orem, UT is $71,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $101,300.00 per year, depending on experience, location, and employer.

What is a metadata manager?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.

How does a metadata manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

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

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

What are the most commonly searched types of Metadata jobs in Orem, UT?

The most popular types of Metadata jobs in Orem, UT are:

What are popular job titles related to Metadata Manager jobs in Orem, UT?

For Metadata Manager jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Metadata Manager jobs in Orem, UT look for?

The top searched job categories for Metadata Manager jobs in Orem, UT are:

Senior Data Scientist

Waystar

Lehi, UT • On-site

Other

Medical, Retirement, PTO

Posted 4 days ago


Job description

ABOUT THIS POSITION
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.
WHAT YOU'LL DO
* Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems.
* Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team.
* Collaborate with cross-functional teams (engineering, product, business stakeholders) to define data science project requirements, scope, and deliverables.
* Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and concisely to diverse audiences.
* Develop and maintain robust data pipelines and infrastructure in collaboration with data engineers to ensure data quality, accessibility, and integrity.
* Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies.
* Contribute to the strategic direction of Waystar's data science initiatives, identifying opportunities for innovation and impact.
* Champion data-driven decision-making throughout the company, educating and influencing stakeholders on the power of data science.
* Evaluate and select appropriate statistical methods and machine learning algorithms for various business challenges, ensuring rigor and validity.
WHAT YOU'LL NEED
* Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
* 8+ years of progressive experience in data science, with a proven track record of delivering impactful data-driven solutions in a fast-paced environment.
* Expert-level proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning model development.
* Extensive experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
* Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference.
* Proficiency in SQL for data querying and manipulation, with experience working with large-scale datasets.
* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
* Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
* Demonstrated ability to lead projects, mentor team members, and drive successful outcomes.
* Prior experience in the healthcare technology or financial services industry is a plus.
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.com or follow @Waystar on 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.