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Data Management Manager 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 ...

Ensure data lifecycle management practices comply with regulatory requirements and company policies. Regularly review and update retention schedules to reflect changes in laws and business needs. Key ...

Data Quality KPI Management: Define, track, and manage Data Quality Key Performance Indicators (KPIs) across the enterprise, monitoring data quality metrics and performance against established ...

Perform quantitative and qualitative assessments, including stakeholder analyses and change impact assessments, to inform data-driven change strategies. * Develop and manage fit-for-purpose change ...

Data Strategy-Manager

Phoenix, AZ · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

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Data Management Manager information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do data management manager jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data management manager 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 is the difference between Data Management Manager vs Data Analyst?

AspectData Management ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Systems, or related fields; certifications like CDMPBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst
Work EnvironmentOversees data teams, manages data governance, and ensures data quality in corporate settingsAnalyzes data sets, creates reports, and provides insights primarily through data visualization tools
Employer & Industry UsageUsed in industries with large data needs like finance, healthcare, and techCommon across marketing, finance, and consulting firms for data-driven decision making

The Data Management Manager focuses on overseeing data governance, quality, and strategy, while the Data Analyst primarily interprets data to generate insights. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

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

To thrive as a Data Management Manager, you need expertise in data governance, data quality management, and a solid understanding of database systems, often supported by a bachelor's or master's degree in information systems or a related field. Familiarity with tools such as SQL, data warehousing platforms, data visualization software, and certifications like CDMP (Certified Data Management Professional) are highly valued. Leadership, analytical thinking, and strong communication skills are essential for effectively collaborating with stakeholders and guiding data teams. These skills ensure data integrity, compliance, and the ability to leverage data for strategic business decisions.

What does a Data Management Manager do?

A Data Management Manager oversees the collection, storage, and organization of data within an organization. They ensure data accuracy, security, and accessibility while developing policies and procedures for data management. Their role often involves leading a team, ensuring compliance with data regulations, and collaborating across departments to support business goals. Effective data management is crucial for making informed decisions and maintaining operational efficiency.

Are data managers in demand?

Data management managers are in high demand due to the increasing reliance on data-driven decision-making across industries. They are sought after for their skills in data governance, database management, and familiarity with tools like SQL and data management platforms. The role often requires strong analytical skills and relevant certifications, with job growth expected to continue as organizations prioritize data accuracy and security.

What are some common challenges faced by Data Management Managers, and how can they be addressed?

Data Management Managers often encounter challenges such as ensuring data quality, integrating data from multiple sources, and maintaining compliance with data privacy regulations. To address these, it's important to implement robust data governance frameworks, foster collaboration between IT and business units, and invest in ongoing staff training. Effective communication and clear documentation of data standards also help in minimizing misunderstandings and maintaining data integrity across the organization.

What is the role of a data management manager?

A data management manager oversees the organization, storage, and integrity of data within an organization. They develop data policies, ensure data quality, and implement systems using tools like databases and data governance frameworks. Strong analytical skills and knowledge of data management software are essential for this role.

What is the salary of a data manager?

The salary of a Data Management Manager typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals in this role often require strong skills in database systems, data governance, and analytics tools, with certifications like CDMP enhancing earning potential.

What is the career path for a data manager?

A data management manager typically advances from roles such as data analyst or data specialist to senior data management positions, then to director or chief data officer roles. Progression often involves gaining expertise in data governance, analytics tools, and certifications like CDMP or DAMA-DMBOK, along with leadership experience.
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 Manager jobs? Cities in Arizona with the most Data Management Manager job openings:
Infographic showing various Data Management Manager 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.