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Data Manager Jobs in Arizona (NOW HIRING)

Present findings and recommendations related to RPA and AI to senior management and other stakeholders, making complex data understandable and actionable. * Visual Storytelling: Utilize your ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

Data Risk, Vice President

Tempe, AZ · On-site

$121K - $170K/yr

The Data Risk Vice President is responsible for overseeing and strengthening how data risk is identified, assessed, and managed across the organization in alignment with the firm's Data Management ...

... Manager to work within the Data Management and Execution section. What You Will Do * Identifies all data deliverables made part of a contract and subsequently builds a data track in a Product Data ...

... Manager to work within the Data Management and Execution section. What You Will Do * Identifies all data deliverables made part of a contract and subsequently builds a data track in a Product Data ...

... Manager to work within the Data Management and Execution section. What You Will Do * Identifies all data deliverables made part of a contract and subsequently builds a data track in a Product Data ...

Manage teams, strengthen partnerships, and leverage data as a competitive advantage. DUTIES AND RESPONSIBILITIES: * Establish a data foundation for Globe to be the single source of truth across ...

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Data Manager information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do data manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data 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 salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
What are the most commonly searched types of Data jobs in Arizona? The most popular types of Data jobs in Arizona are:
What are popular job titles related to Data Manager jobs in Arizona? For Data Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Manager jobs in Arizona look for? The top searched job categories for Data Manager jobs in Arizona are:
What cities in Arizona are hiring for Data Manager jobs? Cities in Arizona with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,528 per year, or $43.5 per hour.

Data Science Manager

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Posted 26 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 Are you a data enthusiast with a passion for leading innovative projects and driving transformation in finance? Join our Finance AI task force as a Data Science Lead and spearhead our data analytics strategy. If you thrive on creating impactful solutions and mentoring a dynamic team, this role is for you!

What You'll Do:

  • Lead and Innovate: Drive the development of RPA, analytical reports, and GPT workflows to support our Finance Division's RPA and AI initiatives.

  • Collaborate: Work closely with Finance stakeholders to identify key questions and define impactful RPA and AI projects.

  • Deliver Insights: Ensure the delivery of high-quality, actionable insights through rigorous RPA and AI data analysis.

  • Mentor and Guide: Lead and mentor a team of data scientists, fostering a data-driven culture and promoting continuous learning in RPA and AI.

  • Communicate Effectively: Present findings and recommendations related to RPA and AI to senior management and other stakeholders, making complex data understandable and actionable.

  • Visual Storytelling: Utilize your storytelling and visualization skills to turn RPA and AI data insights into compelling narratives that drive business decisions.

What We're Looking For:

  • Educational Background: Bachelor's or Master's degree in Applied Mathematics, Data Science, Statistics, Computer Science, or a related field.

  • Technical Expertise: Strong proficiency in Python and extensive experience in data visualization and storytelling, particularly with Looker Studio.

  • Communication Skills: Excellent communication and presentation abilities, with the knack for translating complex data findings into clear, actionable business insights.

  • Leadership Skills: Proven ability to lead, mentor, and inspire a team, fostering a culture of innovation and excellence.

Why You'll Love This Role:

  • Impactful Work: Lead projects that directly influence key business decisions and drive the success of our finance operations.

  • Creative Freedom: Use your creativity to design innovative data solutions and compelling visualizations that make a real difference.

  • Dynamic Team: Join a team of passionate, forward-thinking professionals who value collaboration and innovation.

  • Career Growth: Enjoy continuous learning opportunities and professional development in the fast-evolving field of data analytics.

  • Innovative Projects: Be part of exciting projects involving RPA and AI, pushing the boundaries of what's possible and shaping the future of finance automation.

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.