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Data Management Jobs (NOW HIRING)

UGI

Data Management Manager

Denver, PA · On-site

Communicates with management, information Technology (IT) users, vendors, and other IT areas to coordinate data related activities. Essential Functions: * Leads, advises and develops team of SAP ...

ATMOS energy

Data Management Lead

Dallas, TX · On-site

Documents end to end data flows and system dependencies across Engineering, GIS, Operations, and Snowflake.2. Validates and tests data across Asset Management, GIS, Work Management, and Snowflake to ...

Resideo

Sr Manager Data Management

Charlotte, NC · On-site

JOB DUTIES Enterprise Data Management Leadership * Own the strategy, roadmap, and execution of enterprise data management capabilities (MDM, governance, metadata/catalog, data quality, semantic ...

M&T Bank

Data Management Senior

Buffalo, NY

$103K - $171.60K/yr

A core responsibility is establishing and managing enterprise data working groups to convene data owners, stewards, officers, and specialists to resolve data issues requiring bankwide consensus. The ...

DTCC

Data Management Associate Director

Tampa, FL · On-site

Data Management is a high-impact, fast paced team focused on strategic data solutions, supporting data-driven transformation and modernization efforts, and establishing, maturing, and driving the ...

Biogen

Manager, Commercial Data Management

Cambridge, MA · On-site

$122K - $163K/yr

Execute assigned data management deliverables aligned to analytics and reporting priorities * Support ingestion, transformation, and refresh of commercial data sources within established pipelines

Northern Trust

Sr. Associate, Data Management

Tempe, AZ · On-site

The Data Management Enablement (DME) team within the Enterprise Data group is seeking a highly skilled Senior Associate, Data Management to join the team and serve as a data management subject matter ...

Bracco

Senior Manager, Data Management

Princeton, NJ · On-site

The position requires strong expertise in data management and broad knowledge of the overall drug development process. The Sr. Manager, Data Management will be responsible for performing the data ...

Exelixis

Clinical Data Management Director

Alameda, CA · On-site

The Clinical Data Management (CDM) Director is a highly experienced and influential leader with expert knowledge of Clinical Data Management concepts and processes. This position is accountable for ...

Exelixis

Clinical Data Management Director

Alameda, CA · On-site

The Clinical Data Management (CDM) Director is a highly experienced and influential leader with expert knowledge of Clinical Data Management concepts and processes. This position is accountable for ...

Northern Trust

Sr. Associate, Data Management

Tempe, AZ · On-site

The Data Management Enablement (DME) team within the Enterprise Data group is seeking a highly skilled Senior Associate, Data Management to join the team and serve as a data management subject matter ...

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All JobsData Management Jobs

Data Management information

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$31K

$97.1K

$172K

How much do data management jobs pay per year?

As of Jun 3, 2026, the average yearly pay for data management 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 a Data Management Analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in Data Management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What are some common challenges faced by Data Management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

More about Data Management jobs
What cities are hiring for Data Management jobs? Cities with the most Data Management job openings:
What are the most commonly searched types of Data Management jobs? The most popular types of Data Management jobs are:
What states have the most Data Management jobs? States with the most job openings for Data Management jobs include:
What job categories do people searching Data Management jobs look for? The top searched job categories for Data Management jobs are:
Data Management jobs near you
Infographic showing various Data Management job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

AI Data Management Specialist

Cornerstone Defense

Bethesda, MD • On-site

Contractor

Posted 23 days ago

Job description

  • Location: Bethesda, Maryland
  • Type: Contract
  • Job #3905

Position - AI Data Management Specialist
Work Location - Bethesda, MD
Security Clearance - TS/SCI with CI Polygraph
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Seeking an experienced and skilled AI Data Management Specialist to support the Chief AI Officer and Chief Data Officer (CAIO/CDO) at one of our Intelligence customers. The ideal candidate will have a solid foundation in data management, including practical and strategic expertise across the data lifecycle, data protection, and stakeholder coordination. In this role, you will engage with technical and non-technical senior government data managers to develop, implement, and refine their data management strategies while ensuring alignment with best practices in data protection, privacy, and civil liberties.
Familiarity with AI concepts and vectorization as it relates to AI is required, and knowledge of zero trust principles, and data architecture is highly desirable to enhance your contributions to this critical mission.
Primary Responsibilities
Data Lifecycle Management:
  • Provide expertise in practical and strategic aspects of the data lifecycle, including data collection, storage, usage, sharing, and archival/disposal.
  • Guide senior government stakeholders in the development and execution of comprehensive data management plans aligned with mission goals and compliance requirements.
  • Data Protection and Governance:

  • Deliver practical and strategic guidance on data protection, addressing risks related to data spills, personal information security, and civil liberties.
  • Ensure compliance with data protection policies, laws, and standards, and promote best practices to safeguard sensitive information and preserve privacy.
  • Stakeholder Coordination:

  • Act as a critical liaison, working directly with senior government data managers and technical teams to bridge technical and non-technical perspectives.
  • Facilitate communication and understanding of data management priorities, challenges, and solutions.
  • AI and Emerging Technologies:

  • Apply a foundational understanding of AI to advise on data strategies that enable AI implementation and clear adoption paths.
  • Contribute to discussions and planning related to advanced concepts such as vectorization in AI and data-driven solutions.
  • Strategic Recommendations:

  • Support senior leadership by identifying and addressing gaps in data infrastructure, strategy, and implementation.
  • Advise on policies and practices related to zero trust architecture, data architecture, and cross-organizational data-sharing initiatives.

Qualifications
  • Active TS/SCI with Poly is required.
  • Bachelor's degree with 8+ years of relevant experience, Associate's degree with 10+ years of relevant experience, or Master's degree with 6+ years of relevant experience.
  • Solid background in data management, with a firm, practical, and strategic understanding of the data lifecycle and its application in government or enterprise environments.
  • Understanding of vectorization in AI and its relationship to data usage and analytics.
  • Strong expertise in data protection, especially regarding issues such as data spills, safeguarding personal information, and addressing civil liberties.
  • Ability to coordinate with senior technical and non-technical stakeholders, including government senior data managers, to align data management initiatives with organizational priorities.
  • Familiarity with AI concepts and their implications for data usage and management.

Preferred Qualifications:
  • Knowledge or experience with zero trust architecture principles.
  • Expertise in data architecture design, principles, and governance, with the ability to speak confidently about its implications for strategy and implementation.
  • Experience working for or with Intelligence Community (IC) stakeholders or other government agencies.
  • Strong communication and interpersonal skills to convey complex technical concepts to diverse audiences.

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