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Program Manager Data Analytics Jobs in Arizona (NOW HIRING)

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... program and annual performance bonuses. Responsibilities: * Leads end-to-end management of cross ...

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data ... program and annual performance bonuses. Responsibilities: * Leads end-to-end management of cross ...

As the Manager of Data Technology, you will play a pivotal role in shaping the future of our data ... Maintain working knowledge of enterprise data, analytics, and cloud technologies to effectively ...

As the Manager of Data Technology, you will play a pivotal role in shaping the future of our data ... Maintain working knowledge of enterprise data, analytics, and cloud technologies to effectively ...

Analyze program data to identify trends, inform decision-making, and address client and organizational needs. * Manage Salesforce and other systems to improve efficiency and reporting accuracy.

Responsible for direct report performance management, talent development, and career progression ... program with paid holidays plus 16 paid volunteer hours, and various wellness programs.

Provide evaluations, analysis, and recommendations for system enhancements, performance ... programs. * Maintains, enhances, and broadens knowledge and skills related to data management and ...

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Program Manager Data Analytics information

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

Is 40 too late for data science?

For a Program Manager in Data Analytics, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in related fields and continuous learning through certifications or courses can enhance job prospects regardless of age.

Is AI replacing data analysts?

Program managers in data analytics oversee projects that often involve AI tools, but AI is not replacing data analysts; instead, it automates routine tasks, allowing analysts to focus on complex analysis and strategic insights. Data analysts' skills in interpreting data, storytelling, and domain knowledge remain essential, and proficiency with AI and machine learning tools enhances their effectiveness.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

Do program managers need data analytics skills?

Program managers in data analytics roles typically need skills in data analysis, visualization tools, and understanding of data-driven decision-making. These skills help them oversee projects that involve large datasets and ensure strategic goals are met efficiently.

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

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

Who earns more, a project manager or a data analyst?

A project manager typically earns more than a data analyst due to greater responsibilities, leadership requirements, and often higher levels of experience and certification. Project managers usually oversee entire projects, budgets, and teams, which contributes to higher compensation compared to data analysts who focus on data interpretation and reporting.
What are popular job titles related to Program Manager Data Analytics jobs in Arizona? For Program Manager Data Analytics jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Program Manager Data Analytics jobs? Cities in Arizona with the most Program Manager Data Analytics job openings:
Workforce Data & Analytics Senior Manager

Workforce Data & Analytics Senior Manager

Deloitte

Tempe, AZ

Other

Posted 15 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Recruiting for this role ends on 5/30/2026.

Work you'll do

As a Workforce Data & Analytics Senior Manager on the HR Strategy & Technology team, you will be responsible for leading people analytics engagements that help clients translate workforce data into business decisions across work, workforce, and workplace priorities.

  • Lead delivery of people analytics engagements, including project planning, resource allocation, budget tracking, risk management, and execution against client objectives and timelines.
  • Manage global and cross-functional teams in the design and delivery of data engineering, analytics, dashboarding, visualization, and modeling solutions across Human Capital Management and enterprise business intelligence platforms.
  • Advise clients on people analytics strategy, operating model, roadmap, use cases, and user stories by conducting discovery, defining business questions, and translating findings into actionable recommendations.
  • Oversee data architecture, data pipelines, data quality remediation, privacy considerations, and deployment activities to support analytics and artificial intelligence use cases involving employee data.
  • Support client relationship management and business development activities, including presenting insights and recommendations, identifying analytics-led opportunities, and contributing to proposals and pursuits.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in management consulting or in a consultative analytics role
  • 8+ years of experience managing teams of 15+ professionals
  • 8+ years of experience performing data engineering and data analysis using Structured Query Language (SQL), R, and Python
  • 8+ years of experience working with data warehouses and data lakes, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Databricks, or Snowflake
  • 8+ years of experience building dashboards and reporting solutions using business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least 2 initiatives in which artificial intelligence or machine learning methods were designed or implemented for people analytics or workforce use cases
  • Experience facilitating at least 3 meetings, presentations, or workshops with cross-functional or global stakeholder groups on complex topics
  • Experience managing at least 2 data- or technology-enabled projects through the full project lifecycle, including budget, timeline, deliverable, and stakeholder management
  • Experience presenting findings from technical projects to Human Resources leadership or executive audiences at least 2 times, resulting in a defined business action, strategy, or policy change
  • Experience mapping, designing, or evaluating people analytics data and technology workflows for at least 1 organization or major initiative

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 $171,600 to $338,300.

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:

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Recruiting for this role ends on 5/30/2026.

Work you'll do

As a Workforce Data & Analytics Senior Manager on the HR Strategy & Technology team, you will be responsible for leading people analytics engagements that help clients translate workforce data into business decisions across work, workforce, and workplace priorities.

  • Lead delivery of people analytics engagements, including project planning, resource allocation, budget tracking, risk management, and execution against client objectives and timelines.
  • Manage global and cross-functional teams in the design and delivery of data engineering, analytics, dashboarding, visualization, and modeling solutions across Human Capital Management and enterprise business intelligence platforms.
  • Advise clients on people analytics strategy, operating model, roadmap, use cases, and user stories by conducting discovery, defining business questions, and translating findings into actionable recommendations.
  • Oversee data architecture, data pipelines, data quality remediation, privacy considerations, and deployment activities to support analytics and artificial intelligence use cases involving employee data.
  • Support client relationship management and business development activities, including presenting insights and recommendations, identifying analytics-led opportunities, and contributing to proposals and pursuits.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in management consulting or in a consultative analytics role
  • 8+ years of experience managing teams of 15+ professionals
  • 8+ years of experience performing data engineering and data analysis using Structured Query Language (SQL), R, and Python
  • 8+ years of experience working with data warehouses and data lakes, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Databricks, or Snowflake
  • 8+ years of experience building dashboards and reporting solutions using business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least 2 initiatives in which artificial intelligence or machine learning methods were designed or implemented for people analytics or workforce use cases
  • Experience facilitating at least 3 meetings, presentations, or workshops with cross-functional or global stakeholder groups on complex topics
  • Experience managing at least 2 data- or technology-enabled projects through the full project lifecycle, including budget, timeline, deliverable, and stakeholder management
  • Experience presenting findings from technical projects to Human Resources leadership or executive audiences at least 2 times, resulting in a defined business action, strategy, or policy change
  • Experience mapping, designing, or evaluating people analytics data and technology workflows for at least 1 organization or major initiative

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 $171,600 to $338,300.

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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