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Program Manager Data Analytics Jobs in Tucson, AZ

Blackstone Talent Group

Program Manager

Tucson, AZ

... data analysis, problem solving, and process improvements What does success look like for this role ... Earned Value Management System (EVMS) * Program Management * Experience with Test Systems ...

Tenet Health

Trauma Program Manager (RN)

Tucson, AZ

$46K - $56K/yr

The Trauma Program Manager (RN) provides leadership and oversight of the trauma program , ensuring ... Oversee trauma registry, data analysis, and performance improvement programs * Collaborate with ...

Tenet Health

Trauma Program Manager (RN)

Tucson, AZ

$46K - $56K/yr

The Trauma Program Manager (RN) provides leadership and oversight of the trauma program , ensuring ... Oversee trauma registry, data analysis, and performance improvement programs * Collaborate with ...

Tenet Health

Trauma Program Manager (RN)

Tucson, AZ · On-site

$46K - $56K/yr

Oversee trauma registry, data analysis, and performance improvement programs * Collaborate with ... management; data analysis; coaching and mentoring, strategic planning, business strategy ...

Celestica

Program Manager - Aerospace & Defense

Tucson, AZ · On-site

$90K - $100K/yr

... data-driven insights to maintain high standards of service and operational efficiency. The position ... Provides performance reporting and analysis for monthly Operations Reviews and quarterly Customer ...

Raytheon

Tomahawk Program Manager

Tucson, AZ

The Program Manager will serve as the primary on‑site production execution leader, ensuring daily ... Oversee FRACAS (Failure Reporting, Analysis, and Corrective Action System) activities for Tomahawk ...

JLL

Engineering Program Manager

Tucson, AZ

$122K/yr

Use data trends to identify potential system problems and proactively work with teams in ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

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All JobsProgram Data Analytics JobsProgram Manager Data Analytics JobsProgram Manager Data Analytics Jobs in Tucson, AZ

Program Manager Data Analytics information

See Tucson, AZ salary details

$36.4K

$101.6K

$148.4K

How much do program manager data analytics jobs pay per year?

As of Jun 15, 2026, the average yearly pay for program manager data analytics in Tucson, AZ is $101,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $125,300.00 per year, depending on experience, location, and employer.

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 Tucson, AZ? For Program Manager Data Analytics jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in Tucson, AZ look for? The top searched job categories for Program Manager Data Analytics jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Program Manager Data Analytics jobs? Cities near Tucson, AZ with the most Program Manager Data Analytics job openings:
Program Manager Data Analytics jobs near you
Manager, Enterprise Data & Analytics

Manager, Enterprise Data & Analytics

Tucson Electric Power

Tucson, AZ • On-site

Full-time

Posted 13 days ago

Job description

We are looking for talented individuals who are passionate about making an impact in the company and the community. Apply now and become part of the dynamic energy industry!
Are you passionate about turning data into measurable business value? Do you thrive in building modern data platforms, leading high-performing teams, and shaping enterprise strategy? If so, we're looking for a Manager, Enterprise Data & Analytics to lead the next evolution of our data capabilities.
What You'll Do
In this role, you'll lead our enterprise data and analytics function, driving a modern, cloud-based data strategy and delivering trusted insights across the organization. You'll play a key role in transforming how data is managed, accessed, and used to power decision-making.
Key areas of focus:
  • Lead enterprise data strategy and roadmap aligned to business priorities
  • Drive modernization to the cloud (Microsoft Azure / Fabric) and build a scalable data platform
  • Oversee enterprise data warehouse and analytics ecosystem
  • Establish a "single source of truth" for reporting and KPIs across the organization
  • Enable self-service analytics and BI while improving governance and data quality
  • Partner across IT and business teams to deliver impactful analytics solutions
  • Build, lead, and develop a team (~20+ professionals) across data engineering, BI, governance, and integration

What You'll Tackle First
  • Execute a new IT and data roadmap, with emphasis on Azure-based solutions
  • Strengthen and stabilize database and data platform operations
  • Evolve and potentially rebuild BI capabilities to better support the business
  • Help unify data across systems into a cohesive, enterprise-wide experience

What You Bring
We're looking for a strong mix of technical expertise, leadership, and business mindset:
  • Experience leading enterprise data, analytics, or platform teams
  • Background in data architecture, data warehousing, and analytics delivery
  • Hands-on experience with cloud platforms (preferably Microsoft Azure)
  • Strong understanding of BI tools, reporting strategy, and data governance
  • Ability to translate data into practical business insights and outcomes
  • Proven experience building trust, developing teams, and driving change
  • Familiarity with modern data ecosystems

Why This Role
  • High impact: Shape enterprise-wide data strategy and influence key business decisions
  • Modern tech stack: Lead transformation to Azure and next-generation data platforms
  • Leadership opportunity: Manage a large, diverse team and help elevate capabilities across the organization
  • Growth and innovation: Partner with emerging AI and analytics initiatives

Full Job Description
Position Description
The Manager, Enterprise Data & Analytics leads UNS's enterprise data and analytics function to enable trusted, secure, and scalable data capabilities that deliver measurable business outcomes. This role is accountable for establishing a modern enterprise data strategy and operating model, implementing a robust Enterprise Data Warehouse capability, scaling analytics from self-service BI to advanced analytics, and building enterprise-wide data literacy. As the Enterprise Data and Analytics CoE matures, this role is expected to operate with enterprise-wide scope and influence, functioning as a senior IT role aligned with the broader IT strategy.
This leader builds and manages a team that spans data governance and quality, data architecture and engineering, DataOps and platform operations, middleware/integration, self-service analytics and BI, and advanced analytics in partnership with the AI & Automation CoE. The role ensures data is trustworthy, accessible, and secure across the enterprise, aligning data investments with corporate strategy, regulatory/market readiness needs, and prioritized use cases.
Key Responsibilities
Establish & Implement Enterprise Data Strategy
  • Own the enterprise Data Strategy and multi-year roadmap, including current-state assessment, gap analysis, target architecture, and sequenced initiatives.
  • Establish and maintain a prioritized data & analytics portfolio with value hypotheses, delivery plans, and KPIs; drive cross-functional alignment through steering and governance mechanisms.
  • Ensure roadmap alignment to corporate strategy, operational priorities, and regulatory/market readiness reporting needs.

Implement Enterprise Data Warehouse
  • Lead the implementation and evolution of the Enterprise Data Warehouse capability (hybrid on-prem/cloud as applicable), including architectural standards, domain modeling approaches, and performance/cost objectives.
  • Establish reusable design patterns for data ingestion, transformation, semantic modeling, and consumption (BI, analytics, APIs).
  • Define and manage platform operational expectations: reliability SLOs, recoverability, cost transparency, and performance SLAs.

Data Governance & Stewardship
  • Establish the enterprise data governance operating model including:
    • Data ownership and stewardship roles and responsibilities
    • Policies, standards, glossary, and master/reference data practices
    • Data issue management (triage, remediation, root cause)
    • Data quality SLAs and continuous improvement processes
  • Embed privacy, security, and compliance guardrails throughout the data lifecycle in partnership with ECS and IT Governance.

Data Architecture & Engineering
  • Define and evolve a modern data architecture (warehouse/lake/lakehouse patterns as appropriate); publish reference designs and reusable components.
  • Lead engineering of reliable data pipelines and APIs with documented lineage, cost transparency, and measurable reliability/performance targets.
  • Establish standards for enterprise data models, metadata practices, and integration patterns to reduce duplication and improve time-to-value.

DataOps & Middleware / Integration
  • Stand up and mature DataOps including environment strategy, CI/CD for data assets, automated testing, and observability (catalog, lineage, quality monitoring).
  • Establish incident playbooks and operational processes for data reliability and recoverability (triage, MTTR, root cause, recurrence reduction).
  • Govern third-party connectivity and middleware patterns consistent with ECS standards (secure zones, remote access patterns, data loss prevention as applicable).

Self-Service Analytics & BI
  • Operationalize and govern self-service analytics, including Power BI governance:
    • Shared workspaces and standards
    • Semantic models, certified datasets, and usage analytics
    • Reporting and visualization standards
  • Coach business analysts and citizen report builders; reduce shadow IT and duplicative reporting through certified data products and reusable assets.
  • Drive consistent KPI definitions and "single source of truth" reporting where appropriate.

Strategic Use Cases & Advanced Analytics
  • Identify, prioritize, and deliver strategic use cases aligned to corporate priorities, including operational, regulatory, customer, and reliability outcomes.
  • Partner with AI & Automation teams to develop predictive/optimization use cases tied to measurable benefits (forecasting, optimization, decision intelligence).
  • Ensure robust data foundations and clear handoffs to support production sustainment of advanced analytics solutions (data pipelines, monitoring, and lifecycle responsibilities).

Data Literacy & Enablement
  • Establish and run a data literacy program including role-based training, stewardship onboarding, communities of practice, and office hours.
  • Publish playbooks and reference dashboards for common KPIs and recurring analytics needs.
  • Drive adoption of certified datasets/semantic models and improve enterprise confidence in data-driven decisions.

Risk, Compliance & Resilience
  • Ensure alignment to applicable compliance frameworks (e.g., CIP where relevant) across data environments, including documentation, audit support, and remediation planning.
  • Implement backup/recovery and resilience practices for critical data platforms in partnership with ECS and I&O.
  • Ensure communications protections and secure integration patterns for data movement and third-party connectivity.

Management Responsibilities
  • Ensure that the Company's management principles, policies and programs are consistently practiced and continually support the Affirmative Action Plan.
  • Assume fiduciary responsibility for operating the business and provide recommendations on cost improvement measures.
  • Ensure that the Performance Management program is administered uniformly and effectively.
  • Comply with and administer the terms and conditions of the Collective Bargaining Agreement when applicable.
  • Administers personnel functions, including recruiting, review and approval of job descriptions and salary classifications, and selection and placement of personnel. Participates in hiring, termination, promoting, assignment and direction of staff. Ensure compliance with all applicable local, state and federal laws, regulations and standards, company policies, practices and ethical obligations to investigate, evaluate and recommend appropriate resolution to employee complaints.
  • Promotes and participates in the professional development, personal growth and career planning of staff. Motivate, recognize and reward, coach, counsel, train; provide feedback to employees during performance reviews. Participates in Leadership Development programs.
  • Addresses disciplinary and/or performance issues, according to company policy, and communicates effectively with employees regarding corrective action. Has input into the adjustment of grievances and administration of discipline.
  • Plans day-to-day operations, estimates personnel needs and schedules and assigns work. Evaluate the structure and team plan for continual improvement of the efficiency and effectiveness of the group.

Knowledge, Skills & Abilities
(Equivalent combination of education and experience will be considered.)
Minimum Qualifications:
  • Bachelor's degree in Information Systems, Computer Science, Data/Analytics, Engineering, or related field (or equivalent experience).
  • 5+ years of enterprise data/analytics experience with hands-on delivery across governance, architecture/engineering, BI, and DataOps.
  • 5+ Experience leading, mentoring, or managing analytics and data engineering professionals, including performance development and work prioritization.
  • Proven track record implementing hybrid cloud/on-prem data platforms and governing self-service BI programs (semantic models, certified datasets).
  • Demonstrated partnership with Cybersecurity/ECS and audit stakeholders; working knowledge of security, privacy, and compliance controls relevant to data environments.
  • Strong stakeholder management with Data Owners/Stewards and business leaders; ability to translate enterprise business needs into governed data products and measured analytics outcomes.

Preferred Qualifications:
  • Experience implementing and operating enterprise data warehouse solutions at scale (including dimensional modeling and semantic layer strategies).
  • Experience with metadata/master data platforms, lineage catalogs, and cost/performance observability.
  • Experience governing third-party integrations and middleware under enterprise security standards.
  • Experience overseeing consulting SOWs and partner deliverables for data strategy and architecture.
  • Relevant certifications (preferred): cloud data platform, data governance, or analytics certifications.

ADA Requirements and Physical Demands:
The physical demands as described are representative of those that must be met by the person in this position to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Office Work:
    • Sit, Stand, Walk and Bend: This position regularly requires prolonged periods of sitting. Occasionally requires standing, walking, or bending for short periods of time.
    • Use of Hands/Fingers: To operate a computer, keyboard, mouse, and other office equipment.
    • Speech/Hearing: This position frequently communicates with others via phone and in-person.
    • Visual Acuity: For reviewing detailed operational reports.
  • Lifting: Ability to lift and carry items weighing up to 15 pounds, as needed.
  • Safety Sensitive: This position does not perform safety sensitive functions.
  • Travel: Regular travel to operational sites, industry events, and stakeholder meetings.

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