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Data Management Jobs (NOW HIRING)

Director, Data Management

California, MO ยท On-site

$180 - $240/hr

Lead data management activities across multiple clinical studies and development phases. * Shape and implement data management strategies , standards, and best practices. * Mentor and support data ...

Posted today

Data Management Analyst Location: Remote/Hybrid - USA Reports to: Manager, Contract and Data Management Department Name: Strategic Sourcing/Supply Chain Position Type : Full Time, Exempt Position ...

Requirements * 10+ years of experience in data management, data architecture, data governance, or related disciplines * 7+ years of leadership experience managing cross-functional teams including ...

Data Management Specialist

Dahlgren, VA ยท On-site

$70K - $75K/yr

Overview Data Management Specialist JOB LOCATION: Dahlgren, Virginia JOB STATUS : Full Time CLEARANCE : Secret TRAVEL : Less than 10% SALARY: $70,000 to $75,100 Astrion has a contingent opening for a ...

Own and lead the firm's data quality and master data management program across designated data domains. * Establish, enforce, and continuously improve data quality standards, KPIs, and SLAs (e.g ...

Own and lead the firm's data quality and master data management program across designated data domains. * Establish, enforce, and continuously improve data quality standards, KPIs, and SLAs (e.g ...

Data Management, Manager As a member of Global data strategy team, the Manager Data Management, Commercial Patient Data reports into the Director, Patient Data Management. This position will manage ...

Own and lead the firm's data quality and master data management program across designated data domains. * Establish, enforce, and continuously improve data quality standards, KPIs, and SLAs (e.g ...

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Data Management Specialist

Washington, DC ยท On-site

$70K - $92K/yr

Data Management Specialist Location: Onsite, Washington DC Position Summary The Data Management Specialist supports the Client's National Customer Service Improvement Project (CSIP) by ensuring the ...

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Data Management Director Position Overview: In this role, The Data Management Director sits at the center of our Business Information organization, partnering closely with Business Process, Business ...

Lead the architecture, implementation, support, and evolution of enterprise data platforms, including Master Data Management solutions and broader cloud-based data services * Own the technical ...

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Data Management Specialist

Kansas City, MO ยท On-site

$70K - $92K/yr

Data Management Specialist Location: Onsite, Kansas City, MO Position Summary The Data Management Specialist supports the Client's National Customer Service Improvement Project (CSIP) by ensuring the ...

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The Data Management Specialist also serves as the PMO Information Architect responsible for organizing, governing, and continuously improving the department's digital workspace and knowledge ...

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DATA Management information

See salary details

$31K

$97.1K

$172K

How much do data management jobs pay per year?

As of Aug 7, 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 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 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 skills are needed for data management?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database tools, data governance policies, and data quality standards to support business operations and 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.

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:
Infographic showing various Data Management job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, 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.

Director, Data Management

6AM City, LLC

California, MO โ€ข On-site

$180 - $240/hr

Other

Posted 9 hours ago

Posted today


Job description

Job DescriptionThe Opportunity

Join us at Maze Therapeutics as our Director of Data Management, where you will play a key role in shaping the data strategy that supports our clinical development programs. You'll partner closely with Biostatistics, Statistical Programming, Clinical Operations, and Regulatory Affairs, and oversee external vendors to deliver high-quality, reliable clinical data across our studies.

Reporting to the Vice President of Biometrics, you'll provide strategic direction and hands-on leadership for clinical data management activities spanning multiple clinical trials. Your work will ensure timely, compliant, and analysis-ready data that supports regulatory submissions and key program decisions.

The Impact You'll Have
  • Lead data management activities across multiple clinical studies and development phases.
  • Shape and implement data management strategies, standards, and best practices.
  • Mentor and support data management team members, fostering growth and knowledge sharing.
  • Serve as a subject matter expert for data management processes, systems, and regulatory expectations.
  • Oversee critical study deliverables including DMPs, CRFs/eCRFs, edit checks, and database locks.
  • Guide accurate, consistent, and timely clinical data collection, cleaning, and reconciliation.
  • Review and approve key study documentation and ensure readiness for analysis and reporting.
  • Drive database lock planning and partner closely with Biostatistics and Medical Writing to support analyses and study reports.
  • Manage CROs and external vendors, ensuring clarity around timelines, quality expectations, and contractual commitments.
  • Support the evaluation, implementation, and optimization of EDC and data management technologies.
  • Collaborate closely with Clinical Operations, Biostatistics, and other partners across the organization.
  • Provide data management insights for protocols, study design, and operational planning, while proactively communicating risks and mitigation strategies to senior leadership.

As a Director, we also expect you to demonstrate the following Leadership Competencies:

Leadership Competencies
  • Communication and Influence
    • Builds communication channels across Maze for sharing information.
    • Influences Senior Management decisions through persuasive arguments.
    • Respectfully addresses differing opinions leading to support of decisions.
  • Teamwork and Collaboration
    • Champions partnerships and connections across Maze.
    • Proactively addresses issues that could result in breakdown of team relationships.
    • Spotlights team and individual contributions in public forums.
  • Execution and Results
    • Addresses gaps and leverages strengths to get best results.
    • Maintains a steadying presence and clarifies priorities during change.
    • Anticipates and removes barriers that put functional/corporate goals at risk.
  • Develop Others and Self
    • Remove barriers to staff development and empowers them to make their own decisions.
    • Stays current on industry trends and keeps direct-reports prepared and responsive.
What You're Looking For
  • Bachelor's or advanced degree in Life Sciences, Computer Science, or related field
  • 8+ years of clinical data management experience in biotech, pharmaceutical, or CRO environments
  • 3+ years of people and/or project leadership experience
  • Hands-on experience with EDC systems (e.g., Medidata Rave, Oracle InForm)
  • Strong understanding of clinical trial operations, data flows, and regulatory expectations
  • Collaborative, mentorship-oriented leadership stylewith the ability to influence across teams

This role follows a hybrid schedule, with an expectation to be onsite at our South San Francisco headquarters at least three days per week.

About Maze Therapeutics

Maze Therapeutics is a clinical-stage biopharmaceutical company harnessing the power of human genetics to develop novel, small molecule precision medicines for patients living with renal, cardiovascular and related metabolic diseases, including obesity. The company is advancing a pipeline using its Compass platform, which allows it to identify and characterize genetic variants in disease and then link those variants to the biological pathways that drive disease in specific patient groups through a process it refers to as variant functionalizati

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