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Data Manager Jobs (NOW HIRING)

Faeth Therapeutics

Clinical Data Manager

San Francisco, CA · On-site

$125K - $175K/yr

Faeth Therapeutics is seeking an experienced Clinical Data Manager to support clinical data management activities across two active clinical trials. This individual will play a critical role in ...

asrcfh

Clinical Data Manager

Reston, VA · On-site

Manage the delivery of high-quality data from project start-up and planning to project execution and project closeout on several projects * Independently perform project specific quality control and ...

The Garrett Group

Data Manager (NEC)

NE · On-site

TGG is seeking a Data Manager to provide to the Nuclear Enterprise Center (NEC). Are you ready to make a significant impact on critical decision-making processes, drive operational efficiency, and ...

Heidelbergmaterials

Master Data Manager

Irving, TX · Hybrid

$136K - $181K/yr

Design, evaluate, and develop master data management workflows in collaboration with crossfunctional stakeholders, to ensure scalable, efficient processes. * Establish and guide function-based data ...

TScan Therapeutics

Clinical Data Manager

Waltham, MA

$130K - $150K/yr

Data Management Plans, eCRF completion guidelines, Data Review Plans, etc) * Oversee internal and external database cleaning, query resolution and database lock activities * Support SAE ...

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How much do data manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 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 cities are hiring for Data Manager jobs? Cities with the most Data Manager job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
Who are the top companies hiring for Data Manager jobs? The top employers for Data Manager jobs are:
What states have the most Data Manager jobs? States with the most job openings for Data Manager jobs include:
What job categories do people searching Data Manager jobs look for? The top searched job categories for Data Manager jobs are:
Data Manager jobs near you
Infographic showing various Data Manager job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Journeyman Data Manager

Novel Applications of Vital Information

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

Residency Status: ALL CANDIDATES MUST BE A U.S. CITIZEN

Clearance: ALL CANDIDATES MUST POSSESS AN ACTIVE TS/SCI w/CI poly. No Clearance Sponsorships!

Time Type: Shift Work - Daytime Schedule - 100% Onsite

Travel Reimbursement: Yes

Company Benefits: Yes


Company Overview:

NAOVI (Novel Applications, Inc.) is a premier technology services company that provides solutions in the areas of Cyber Security, Information Management and Systems Integration. NAOVI is a business that combines experience, creativity, flexibility, pragmatism, and cost-effective solutions in order to deliver measurable business value to our clients.

Headquartered in Fredericksburg, Virginia, NAOVI employs engineers, analysts, IT specialists and other professionals who strive to be the best at everything they do.

NAOVI is an AA/EEO Employer - Minorities/Women/Veterans/Disabled.

Job Description

NAOVI is seeking a Journeyman Data Manager to support enterprise data management, integration, governance, and configuration management activities across the program. The candidate is responsible for ensuring enterprise data is structured, accessible, reliable, and aligned with mission and operational objectives as data volume, complexity, and interoperability requirements continue to evolve.

The candidate will establish and maintain data lifecycle processes, support integration and interoperability across systems, and assist with implementing data standards, governance policies, and repository management practices. The candidate will also support configuration management efforts through controlled reviews of technical and engineering documentation to ensure consistency, traceability, and version control across enterprise data assets and systems.

Primary responsibilities:

  • Establish, maintain, and improve enterprise data lifecycle processes, including data ingestion, storage, usage, archival, and retention practices.
  • Support enterprise data governance initiatives by defining and maintaining data standards, validation rules, metadata management practices, and quality control procedures.
  • Integrate disparate data sources and artifacts across federated systems to support interoperability and mission requirements.
  • Support the development, maintenance, and optimization of enterprise data repositories and storage environments.
  • Conduct data quality assessments and implement standardized processes to improve data reliability and minimize manual intervention.
  • Perform configuration management and controlled documentation reviews to ensure alignment, traceability, consistency, and version control across data assets and engineering documentation.
  • Analyze enterprise data structures, policies, and workflows to identify opportunities for improved accessibility, efficiency, and reliability.
  • Develop and maintain documentation, reports, briefing materials, and technical artifacts related to data governance, repository management, and integration activities.
  • Support integration of new data models, standards, schemas, and artifacts into existing enterprise environments.
  • Collaborate with engineering, operations, and stakeholder teams to support evolving mission and program data requirements.
  • Provide recommendations to improve enterprise data architecture, governance policies, interoperability standards, and repository performance.
  • Communicate technical findings and recommendations clearly through written documentation, visual presentations, and verbal briefings suitable for both technical and non-technical audiences.

Education and Experience - Required:

  • Requires BA/BS and 8+ years of experience supporting data management, data governance, data integration, or enterprise data environments; or no degree and 12+ years of relevant experience.
  • All candidates must have an Active TS/SCI with Polygraph security clearance required.
  • At this time our company will NOT be offering clearance sponsorships for this position.
  • Experience supporting enterprise data lifecycle management processes and data governance initiatives.
  • Experience with data integration, interoperability, metadata management, and repository administration.
  • Knowledge of configuration management principles, version control practices, and documentation governance.
  • Experience developing and maintaining technical documentation, reports, and briefing materials.
  • Proficiency with data management and analysis tools such as SQL, Python, Excel, Access, or equivalent technologies.
  • Experience supporting enterprise data repositories, storage environments, or data management platforms.
  • Ability to analyze data-related processes and recommend improvements to data quality, accessibility, and operational efficiency.
  • Strong written and verbal communication skills with the ability to present technical concepts to diverse stakeholder audiences.
  • Demonstrated ability to work independently and collaboratively within a fast-paced mission environment.

Desired Qualifications

  • Experience supporting Intelligence Community programs or other federal government environments.
  • Familiarity with data governance frameworks, metadata standards, and enterprise data management best practices.
  • Hands-on experience with Jira, Confluence, or other collaboration and configuration management tools.
  • Experience supporting cloud-based data environments and enterprise storage architectures.
  • Familiarity with automation processes that improve data validation, ingestion, and reporting workflows.
  • Experience supporting configuration control boards, technical review processes, or engineering documentation management.
  • Understanding of enterprise interoperability standards and data exchange methodologies.
  • Experience with the following Work Products preferred:
  • Data Management Lifecycle Documentation.
  • Data Governance and Quality Plans.
  • Data Integration and Interoperability Plans.
  • Data Repository and Infrastructure Documentation.
  • Configuration Management and Documentation Review Reports.
  • Data Standards and Architecture Recommendations.
  • Data Performance and Reliability Reports.

Company Benefits:

  • 401k
  • Health, Dental and Vision
  • Long-Term and Short-Term Disability
  • 3 Weeks’ Paid Vacation
  • 5 Day Paid Sick Leave
  • 11 Paid Holidays
  • Travel Reimbursement (50-mile radius to work location).

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