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Data Management Jobs in Arizona (NOW HIRING)

The Data Management Manager is responsible for leading the implementation and operationalization of Enterprise Data Management capabilities across the organization. The role ensures the consistent ...

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 ...

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 ...

You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer ...

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Data Management information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do data management jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data management in Arizona is $90,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $117,000.00 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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and statistical knowledge, which can be acquired through training or certification regardless of age. Many professionals successfully transition into data analysis later in their careers by gaining relevant skills and experience.

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.

Is data management a good skill?

Data management is a valuable skill for data management professionals, as it involves organizing, storing, and maintaining data to ensure accuracy and accessibility. Proficiency with database tools, data governance, and data quality standards enhances job performance and career prospects in this field.

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 jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL and Excel, and knowledge of data governance and security practices. Attention to detail, problem-solving abilities, and familiarity with data modeling and cleaning are also important. Certifications such as Certified Data Management Professional (CDMP) can enhance qualifications.

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 systems, data governance, and data quality tools, requiring skills in SQL, data modeling, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

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 are the most commonly searched types of Data Management jobs in Arizona? The most popular types of Data Management jobs in Arizona are:
What cities in Arizona are hiring for Data Management jobs? Cities in Arizona with the most Data Management job openings:
Infographic showing various Data Management job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $90,528 per year, or $43.5 per hour.

Data Management Manager

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Posted 4 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Data Management Manager is responsible for leading the implementation and operationalization of Enterprise Data Management capabilities across the organization. The role ensures the consistent adoption of enterprise data standards, metadata, data quality, master data, and governance practices while driving the development of trusted, discoverable, and reusable enterprise data assets.
Working closely with Business, Enterprise Architecture, Solution Delivery, Engineering, and Data Owners, the Data Management Manager translates enterprise data strategy into operational execution by managing governance initiatives, overseeing data management deliverables, and leading a team of Data Management Engineers.
The role is accountable for governance maturity, operational excellence, stakeholder engagement, and continuous improvement of the organization's Enterprise Data Foundation.

DUTIES AND RESPONSIBILITIES:

Enterprise Data Standards & Models

  • Lead the development and maintenance of enterprise data standards, naming conventions, business rules, and data modeling standards.

  • Govern compliance with enterprise data models across projects and initiatives.

  • Review and approve conceptual and logical data models developed by the team.

  • Drive adoption of TMF SID and enterprise modeling standards.

Metadata & Data Asset Management

  • Lead enterprise metadata management activities.

  • Oversee the Data Catalog, Business Glossary, Metadata Repository, and Data Asset Inventory.

  • Ensure critical enterprise data assets are governed, classified, and maintained.

  • Improve enterprise data discoverability and reuse through metadata governance.

Data Quality Management

  • Lead the implementation of the Enterprise Data Quality Operating Model.

  • Approve enterprise data quality standards, validation rules, and monitoring processes.

  • Monitor governance KPIs and enterprise quality performance.

  • Coordinate cross-functional remediation activities with Data Owners and Stewards.

Data Lineage & Impact Analysis

  • Govern end-to-end enterprise data lineage.

  • Ensure lineage coverage for critical business domains.

  • Lead impact analysis for major enterprise initiatives.

  • Maintain enterprise dependency mapping and traceability.

Governance Operations

  • Lead operational governance reviews.

  • Monitor governance compliance across projects.

  • Ensure timely onboarding of enterprise data assets.

  • Drive governance maturity improvements.

  • Report governance performance to department leadership.

Master & Reference Data Management

  • Lead enterprise Master and Reference Data governance initiatives.

  • Approve authoritative source definitions for enterprise master data.

  • Govern the development and approval of:

    • Match Rules

    • Merge Rules

    • Survivorship Rules

    • Golden Record Specifications

  • Ensure enterprise consistency of master and reference data across systems.

  • Oversee stewardship processes and master data lifecycle governance.

Stakeholder & Team Leadership

  • Lead and coach the Data Management Engineering team.

  • Manage work planning, prioritization, and resource allocation.

  • Partner with Business, Enterprise Architecture, Solution Architecture, Transformation Office, and Engineering teams.

  • Resolve governance issues and drive enterprise-wide adoption of standards.

REQUIREMENTS:

  • Minimum 5 years work experience in database management, data warehousing, ETL, data visualization, and data mining

  • Minimum 3-5 years in a leadership or people management role.

  • Work experience in a telco company is preferred; with working knowledge of telco fundamentals

  • Graduate of Statistics, Computer Science, IT, or other related courses

  • Expert knowledge in analytics, visualization, and mapping tools (Python, SAS, SQL, Google Maps), experience using Alteryx is preferred

  • Demonstrated experience leading enterprise-wide data management or governance initiatives.

  • Experience working across Business, Architecture, Engineering, and Operations organizations.

  • Experience developing governance frameworks, operating models, standards, and policies.

Work Experience:

  • Bachelor's degree in computer science, information systems, or a related field

  • 5+ years of experience in data management or related roles

  • 2+ years of experience in a leadership or managerial position

Level of Knowledge:

  • Advanced knowledge of data management principles, practices, and technologies

  • In-depth understanding of data governance, data quality, and data security concepts

  • Familiarity with industry trends and emerging technologies in data management

Certifications (Optional) :

  • Certified Data Management Professional (CDMP)

  • Certified Information Management Professional (CIMP)

  • Certified Information Systems Security Professional (CISSP)

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.