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Data Manager Jobs in Roy, UT (NOW HIRING)

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Independent person able to manage self and activities within a schedule * Able to facilitate ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Independent person able to manage self and activities within a schedule * Able to facilitate ...

Prolim Global

Systems Architect 3

Roy, UT · On-site

$130/hr

Experience with Cohesity, Dell PowerProtect Data Manager (PPDM), or equivalent backup solutions. * Experience operating within RMF, STIG, JSIG, JAFAN, ICD 503, or DCSA environments. * Experience ...

PROLIM Global Corporation

Systems Architect 3

Roy, UT · On-site

$130/hr

Experience with Cohesity, Dell PowerProtect Data Manager (PPDM), or equivalent backup solutions. * Experience operating within RMF, STIG, JSIG, JAFAN, ICD 503, or DCSA environments. * Experience ...

Prolim Global

Computer Systems Architect 3

Roy, UT · On-site

$231K/yr

PowerProtect Data Manager (PPDM) * Ideal Candidate Profile * The ideal candidate is a senior-level infrastructure professional with hands-on expertise in: * Virtualization * Storage Architecture

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All JobsData JobsData Manager JobsData Manager Jobs in Roy, UT

Data Manager information

See Roy, UT salary details

$29.6K

$92.7K

$164.1K

How much do data manager jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data manager in Roy, UT is $92,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $119,700.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
What are the most commonly searched types of Data jobs in Roy, UT? The most popular types of Data jobs in Roy, UT are:
What job categories do people searching Data Manager jobs in Roy, UT look for? The top searched job categories for Data Manager jobs in Roy, UT are:
What cities near Roy, UT are hiring for Data Manager jobs? Cities near Roy, UT with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Roy, UT as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,655 per year, or $44.5 per hour.
Data/Ai Engineer Intern

Data/Ai Engineer Intern

Jade Global

Ogden, UT • On-site

Full-time

Posted 3 days ago

Job description

Data/Ai Engineer Intern1
Data/AI Engineer in the Data & Ai Team
Launch Your Career with Jade Global
Are you ready to start a career where your talents are recognized, your growth is supported, and your work truly matters?
At Jade Global, we're looking for recent graduates with strong potential, curiosity, and drive. While prior experience in technology is a plus, it's not required - what matters most is your motivation to learn, grow, and make an impact. We take a personalized approach to hiring, placing greater weight on who you are and what excites you, not just your GPA.
You'll be joining a team of 1,000+ experienced business and technology professionals who are invested in your success. From day one, you'll receive hands-on coaching, mentorship, and a fast-track, individualized career path designed to help you thrive over the next 3-5 years.
This is not an internship - it's a full-time opportunity with a competitive salary, full benefits, and generous performance-based compensation. You'll be working with some of the most innovative and high-growth companies in Silicon Valley and beyond.
We're seeking the next generation of leaders, problem-solvers, and innovators from top universities around the world - people who are passionate about technology, eager to take ownership, and committed to excellence.
Ready to build your future with us? Let's get started.
Responsibilities include:
  • Collecting and documenting business analytics requirements
  • Analyzing complex data using AI tools and frameworks
  • Exploring the use of LLMs, computer vision, and generative AI to address client business challenges
  • Data collection, preparation, and analysis.
  • Model development and testing.
  • Authoring technical documentation.
  • Presenting solutions to key stakeholders.

Candidate Profile:
  • Bachelor's degree in Computer Science, Data Science, AI/ML, or related field
  • Strong Python programming skills
  • Understanding of ML algorithms like linear regression, classification, clustering, etc.
  • Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch
  • Good understanding of data structures and algorithm
  • Desire to learn
  • Strong analytical thinking and problem-solving and analytical skills.
  • Independent person able to manage self and activities within a schedule
  • Able to facilitate conversations and drive decisions
  • Passionate
  • Creative thinker
  • Takes initiative and ownership
  • Strong team player
  • Strong communicator
  • Interest in learning and growing both technically and as a person
  • Exposure to NLP, Computer Vision, or Generative AI is a plus
  • Experience with Jupyter Notebooks and Git is a plus
  • Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus

What You'll Gain:
  • Mentoring and learning from AI/ML professionals
  • Collaborative and innovation-driven environment
  • Strong understanding of business analytic needs
  • Ability to translate customer requirements into visible results through leading edge technology
  • Deep understanding of proven analytics and AI tools
  • Career growth opportunities within the Data & AI team

Apply