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Data Management Analyst Jobs in Dallas, TX (NOW HIRING)

We are seeking a Senior Lead Data Management Analyst within the Chief Data Office (CDO) to lead the evolution of enterprise governance for permissible data use. This is a highly visible role at the ...

Strong experience managing enterprise database platforms supporting operational and analytical environments * Proven experience implementing Master Data Management (MDM) programs and enterprise data ...

JOB SUMMARY Works under general supervision to provide data acquisition, management and report design/generation to administration and clinicians/researchers. The Department Data Analyst will work ...

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Data Management Analyst information

See Dallas, TX salary details

$22.3K

$87.7K

$142.4K

How much do data management analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data management analyst in Dallas, TX is $87,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $107,300.00 per year, depending on experience, location, and employer.

What does a data management analyst do?

As a data management analyst, you perform a variety of duties related to computer systems security and database management. You monitor databases and other digital storage systems for security breaches, technical issues, and provide routine maintenance on the systems. Depending on your level, you may also work with other developers to design new databases and security tests. A career as a data management analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in computer science or information technology. You should have a thorough familiarity with database languages such as SQL, and analytical problem-solving skills.

What are the key skills and qualifications needed to thrive as a data management analyst, and why are they important?

To thrive as a Data Management Analyst, you need strong analytical abilities, attention to detail, and a solid understanding of data structures, often supported by a degree in information systems, computer science, or a related field. Familiarity with database management systems (like SQL), data visualization tools (such as Tableau or Power BI), and data governance frameworks is typically required, along with relevant certifications. Excellent problem-solving skills, effective communication, and the ability to collaborate across departments distinguish top performers in this role. These skills are crucial to ensure data integrity, drive informed business decisions, and maintain compliance with organizational and regulatory standards.

How does a data management analyst typically collaborate with other departments within an organization?

Data Management Analysts frequently work cross-functionally, collaborating with departments such as IT, business intelligence, and operations to ensure data integrity and accessibility. They often serve as a bridge between technical teams, who manage the databases, and business users, who rely on accurate data for decision-making. Effective communication and problem-solving skills are essential, as analysts may need to translate business needs into data solutions or clarify data issues to non-technical stakeholders.

What is the difference between Data Management Analyst vs Data Analyst?

AspectData Management AnalystData Analyst
Primary FocusManaging, organizing, and ensuring data quality and integrityAnalyzing data to identify trends and generate insights
Skills & CertificationsDatabase skills, data governance, SQL, certifications like CDMPStatistical analysis, Excel, visualization tools, certifications like CAP
Work EnvironmentData warehouses, databases, IT teamsBusiness units, reporting teams, analytics departments

While both roles work with data, the Data Management Analyst focuses on maintaining data quality and structure, whereas the Data Analyst emphasizes analyzing data to support decision-making. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

What are popular job titles related to Data Management Analyst jobs in Dallas, TX?

For Data Management Analyst jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Management Analyst jobs in Dallas, TX look for?

The top searched job categories for Data Management Analyst jobs in Dallas, TX are:

Infographic showing various Data Management Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $87,709 per year, or $42.2 per hour.

Lead Data Management Analyst

Wells Fargo

Irving, TX • Hybrid

Full-time

Posted 18 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 714 frontline employees who took The Breakroom Quiz

89th of 175 rated banks


Job description

Wells Fargo is back in the office collaborating for fabulous outcomes!

This role is hybrid and in the office three days a week and work from home two days a week.

There is no visa sponsorship or visa transfers for this role.

We are seeking a Senior Lead Data Management Analyst within the Chief Data Office (CDO) to lead the evolution of enterprise governance for permissible data use. This is a highly visible role at the intersection of data governance, risk management, and AI enablement, responsible for shaping how the organization governs the use of data across business activities, analytics, and emerging technologies. The focus is not on determining whether data is "good" or "bad," but on establishing the policies, controls, and decision frameworks that ensure data is used appropriately, consistently, and in accordance with legal, regulatory, and business requirements.

As data becomes a strategic asset and AI adoption accelerates, this role will help define the future-state governance model for permissible data use across the enterprise. Working with senior stakeholders across legal, compliance, privacy, technology, and risk organizations, you will drive governance strategy, influence policy and operating model decisions, and build scalable governance capabilities that enable innovation while managing risk.

Optimal candidates will have governed permissible use data.


In this role, you will:

  • Establish and operate centralized enterprise governance for permissible data use, covering all data types across Data Domains and lines of business.

  • Contribute to enterprise policies, procedures and roles for permissible data use in partnership with Enterprise Data Governance and key risk and control stakeholders.

  • Design, document, and maintain endtoend processes and controls for data use governance, including intake, review, approval, exception handling, evidence management, monitoring, and auditability.

  • Ensure effective and efficient engagement with AI governance processes, embedding data use requirements into analytics, AI, and model development and lifecycle activities.

  • Align data use governance with related enterprise policies and frameworks as appropriate, including legal, compliance, privacy, information security, Model Risk Management, and thirdparty risk management.

  • Define requirements and drive prioritization of tooling enhancements with productowning organizations to support scalable workflows, approvals, documentation, and reporting.

  • Develop operational reporting and metrics to provide transparency into data use activity, adherence to standards, exceptions, and emerging risk themes.

  • Provide guidance and enablement to data domains and lines of business, including playbooks, templates, standards, and training materials to support consistent execution.

  • Leverage industry benchmarks and best practices to continuously improve the firm's approach to governing permissible data use and responsible AI.

  • Identify, escalate, and drive remediation of data use governance risks, including rootcause analysis and enhancements to preventative and detective controls.

  • Communicate clearly and effectively with senior stakeholders


Required Qualifications:

  • 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • Experience in enterprise data governance, data risk management, privacyadjacent controls, or related disciplines within a large, complex organization.

  • Demonstrated practitioner experience designing and operating permissible data use governance, including purpose limitation, approvals, exceptions, monitoring, and evidence management.

  • Experience governing enterprise-wide data use, with strong understanding of legal, regulatory, contractual, and internal policy requirements.

  • Experience engaging with AI governance and/or Model Risk Management processes, particularly as they relate to data sourcing and data permissions.

  • Strong background in process design, control development, and documentation, including sustainable operating models and auditready artifacts.


Desired Qualifications:

  • Experience defining governance requirements and partnering with tooling or platform teams to deliver scalable workflow and reporting capabilities.

  • Proven ability to influence crossfunctional stakeholders (legal, compliance, privacy, information security, analytics, technology, thirdparty risk) without direct authority.

  • Excellent written and verbal communication skills, including the ability to develop clear, wellstructured executive level presentations and governance materials.

  • Strong analytical and criticalthinking skills, with the ability to identify risk patterns and recommend targeted control enhancements.

Posting End Date:

9 Sep 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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