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Data Management Jobs (NOW HIRING)

Data Management Professional Locations: Charlotte (Preferred) / Dallas / New York Duration: 12 months Type: Hybrid, 3 days onsite, W2 only Important Manager Notes Regarding This Need: Data validation ...

Job Title Requirements: * 4+ years of experience in data governance or management (leadership experience preferred). * Strong understanding of data privacy, security, and compliance standards.

Responsibilities : โ€ข Own and lead the firm's data quality and master data management program across designated data domains. โ€ข Establish, enforce, and continuously improve data quality standards ...

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 ...

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 Analyst Duration: 12+ Month (s) Location: Summit, NJ - Hybrid Role * In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale ...

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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.

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 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.
DATA MANAGEMENT

DATA MANAGEMENT

Syntricate Technologies

Manhattan, NY โ€ข Hybrid

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Management Professional

Locations: Charlotte (Preferred) / Dallas / New York

Duration: 12 months

Type: Hybrid, 3 days onsite, W2 only

Important Manager Notes Regarding This Need:

Data validation, data reconciliation and ability to be nimble across lots of different sources of data is by far the most important piece of this need.

It would also be helpful if they had AI experience and an ability to work with it (not developing). This is not a requirement.

Able to provide senior leadership updates and be in the hot seat-can present well.

CIB covers: investment banking, corporate banking, commercial real estate and capital markets Industry relevant experience is great but the most important thing is data validation, data lineage and data management

Job Description:

Partner with business, technology and CIB data management leaders, as well as other line of business horizontal service teams and Enterprise functions, for the execution of data management deliverables across Corporate & Investment Banking (CIB)

Ensure CIB compliance to Enterprise data policies and procedures

Support the resolution of data quality defects and data issues

Support data control remediation plans

Support the establishment of applicable data quality controls associated with key business elements

Support all regulatory remediation activities and ensure the mitigation of data management risk for CIB

Support CIB Data Management on the establishment and monitoring of key data management risk metrics

Support the identification of data management risk, measure compliance and assess the effectiveness of controls for risk mitigation

Support implementation of appropriate data management controls to mitigate data management risk

Support the identification and escalation of key and emerging risks related to data management

Desired Qualifications:

7+ years of financial services industry experience

Knowledge of the enterprise data domain and data environment construct โ€“ data sourcing, conformance and distribution

Extensive knowledge and understanding of data governance compliance

Knowledge of data movement, detective and preventative data quality controls

Extensive business analyst skills including, but not limited to, technical, analytical, communication problem-solving and research

Experience in technology delivery or technology change and potential resulting risks