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Associate Data Manager Jobs in Arizona (NOW HIRING)

Work You'll Do As an Associate Vice President, AI and Data Solutions on the AI & Data team, you ... Manage day-to-day stakeholder relationships and align technical delivery to business and program ...

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Willingness to support both system data management and document control activities Education/Experience * Associates Degree required, Bachelor degree desired * 1-3 years of relevant experience in ...

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Data Entry Clerk

Phoenix, AZ · On-site

$17 - $22.50/hr

... data management. Assist with administrative tasks and other duties as assigned. Required Qualifications High school diploma or equivalent; an associate's or bachelor's degree is an advantage. 1-3 ...

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Associate Data Manager information

See Arizona salary details

$13

$30

$52

How much do associate data manager jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for associate data manager in Arizona is $30.82, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $36.49 per hour, depending on experience, location, and employer.

What are some common challenges faced by an associate data manager when coordinating data collection across multiple sites?

Associate Data Managers often work with data from various clinical trial or research sites, which can present challenges such as ensuring data consistency, managing different site timelines, and addressing discrepancies in data entry. Effective communication and strong organizational skills are essential, as is familiarity with data management systems and regulatory requirements. Collaborating closely with site coordinators and senior data managers helps resolve issues quickly and maintain data integrity throughout the project.

What are the key skills and qualifications needed to thrive as an associate data manager, and why are they important?

To thrive as an Associate Data Manager, you need a solid background in data management principles, attention to detail, and a relevant degree such as in life sciences, computer science, or a related field. Familiarity with data management tools like EDC (Electronic Data Capture) systems, SQL, and knowledge of industry regulations (e.g., GCP, CDISC) or certifications like SCDM are typically required. Strong organizational skills, effective communication, and problem-solving abilities help you coordinate with cross-functional teams and ensure data integrity. These competencies are crucial for ensuring high-quality, compliant data collection and delivery in clinical trials or research environments.

What is the difference between Associate Data Manager vs Data Analyst?

AspectAssociate Data ManagerData Analyst
Required CredentialsBachelor's degree in data management, IT, or related field; certifications like CDMP are commonBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically in data management teams within organizations, focusing on data integrity and database managementOften in business or research settings, analyzing data to generate reports and insights
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance rolesCommon in marketing, finance, and consulting for data-driven decision making

The main difference is that Associate Data Managers focus on maintaining and organizing data systems, while Data Analysts interpret data to provide insights. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and purpose.

How much does an associate data manager get paid?

An associate data manager typically earns between $50,000 and $70,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while those with specialized skills or certifications can earn higher salaries.

What does an associate data manager do?

An associate data manager is responsible for collecting, organizing, and maintaining data within an organization. They often use database tools and software to ensure data accuracy, security, and accessibility, supporting data analysis and decision-making processes. This role typically requires attention to detail and familiarity with data management systems.

What are the most commonly searched types of Data Manager jobs in Arizona?

The most popular types of Data Manager jobs in Arizona are:

What are popular job titles related to Associate Data Manager jobs in Arizona?

For Associate Data Manager jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Associate Data Manager jobs?

Cities in Arizona with the most Associate Data Manager job openings:

Senior Manager Data Lead

Tempe, AZ • On-site

Deloitte
Finance and Insurance • 10K+ employees

Full-time

Posted 23 days ago


Key responsibilities

  • Lead the design and delivery of AI solutions for client engagements.

  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms.

  • Manage stakeholder relationships and ensure technical delivery aligns with business and program objectives.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 9/19/26.

Work You'll Do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations for Healthcare clients
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Deloitte's Healthcare Consulting practice is one of the largest in the world. Our practice delivers distinctive services to the country's largest national and regional health plans, 10 of the 10 largest healthcare systems and 8 of the 10 largest for-profit healthcare systems in the US. Our healthcare practice seeks to transform the delivery of care, modernize the industry and enhance our clients' business and operational models.

Many Providers have felt the heavy impact of various government regulations and have experienced a period of decreasing margins and increasing emphasis on cost controls. Our healthcare professionals enable health care providers (from physicians to integrated delivery systems) to improve the cost effectiveness and quality of their care delivery capabilities. Deloitte Consulting can help clients address these and other challenges in today's complex health care environment.

Qualifications

Required:

  • 10+ years experience delivering AI and Data solutions for Healthcare Provider organizations to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
  • 6+ years of hands-on experience modernizing enterprise data platforms and delivering solutions from ideation through production, to include:
    • Cloud and on-premises data landscape (ie: Snowflake, Databricks, BigQuery, Teradata)
    • ETL/ELT tools and data integration patterns within cloud ecosystems
    • Healthcare provider data ecosystems, such as Epic Clarity, Epic Caboodle, or Cerner/Oracle Health databases
    • Clinical data exchange and coding standards, including HL7, FHIR, and ICD
    • Data operations (ie: orchestration, monitoring, data quality, production support, and incident resolution)
  • 4+ years experience leading, managing and delivering complex AI and Data engagements
  • 2+ years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $193,725 to $322,875.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 9/19/26.

Work You'll Do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations for Healthcare clients
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The Team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Deloitte's Healthcare Consulting practice is one of the largest in the world. Our practice delivers distinctive services to the country's largest national and regional health plans, 10 of the 10 largest healthcare systems and 8 of the 10 largest for-profit healthcare systems in the US. Our healthcare practice seeks to transform the delivery of care, modernize the industry and enhance our clients' business and operational models.

Many Providers have felt the heavy impact of various government regulations and have experienced a period of decreasing margins and increasing emphasis on cost controls. Our healthcare professionals enable health care providers (from physicians to integrated delivery systems) to improve the cost effectiveness and quality of their care delivery capabilities. Deloitte Consulting can help clients address these and other challenges in today's complex health care environment.

Qualifications

Required:

  • 10+ years experience delivering AI and Data solutions for Healthcare Provider organizations to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
  • 6+ years of hands-on experience modernizing enterprise data platforms and delivering solutions from ideation through production, to include:
    • Cloud and on-premises data landscape (ie: Snowflake, Databricks, BigQuery, Teradata)
    • ETL/ELT tools and data integration patterns within cloud ecosystems
    • Healthcare provider data ecosystems, such as Epic Clarity, Epic Caboodle, or Cerner/Oracle Health databases
    • Clinical data exchange and coding standards, including HL7, FHIR, and ICD
    • Data operations (ie: orchestration, monitoring, data quality, production support, and incident resolution)
  • 4+ years experience leading, managing and delivering complex AI and Data engagements
  • 2+ years of experience shaping executive-level conversations and providing strategic advice, including selling and solutioning data analytics professional services deals
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $193,725 to $322,875.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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