Enterprise Resource Planning Division

This position may offer the ability to work remotely, within Arizona, based upon the department's business needs and continual meeting of expected performance measures

Main Office Location: 100 N 15th Ave, Phoenix, AZ 85007

Salary: $135,000 to $140,000 

Grade: 31

Open Until Business Needs Are Met (1st Review of Resumes November 2nd, 2026)

The Arizona Department of Administration (ADOA), Enterprise Resource Planning (ERP) Division, is seeking a qualified Business Intelligence Manager to oversee the data engineering, analytics modernization, and reporting strategy for the State of Arizona's core business systems. Operating within the division responsible for managing AZ360—the state's comprehensive software suite that processes millions of transactions annually—the Business Intelligence Manager will lead a skilled technical team transferring CGI Advantage ERP financial, human resource, and budget data from CGI relational databases into a cloud-based Snowflake data lake. Furthermore, this position oversees data pipelines and unified analytics for AZLearns, the state's mandatory training and development portal powered by the Cornerstone OnDemand LMS platform. By architecting robust semantic layers and managing enterprise Power BI dashboards, the Business Intelligence Manager will play a pivotal role in delivering accurate, actionable analytics to state agencies, leadership, and the public.

Team Leadership & Capacity Building:

• Supervise, mentor, and foster continuous talent development for a team of data engineers and BI developers.
• Establish structured workflows to effectively evaluate, scope, prioritize, and process reporting requests across state agencies and organizational units.
• Establish and operate an enterprise Power BI Center of Excellence (CoE) to upskill technical staff, drive data literacy, and promote self-service analytics adoption across a diverse, multi-generational workforce using proven change-management frameworks.

Strategic Vision & Inter-Agency Alignment:

• Define and execute the long-term enterprise BI roadmap and overall reporting strategy for cross-departmental HR, benefits, payroll, and financial systems in alignment with broader ADOA priorities.
• Standardize mission-critical Key Performance Indicators (KPIs) across state agencies, including vacancy/turnover rates, budget-to-actual variances, encumbrance status/commitment rates, revenue realization rates, invoice processing cycle times, procurement-to-pay cycle times, and other metrics established by leadership.
• Create auditable, standardized reporting templates and enterprise data models to eliminate calculation discrepancies across public financial reports.

Cross-Functional Collaboration & Executive Communication:

• Collaborate with administrative leaders, cross-agency stakeholders, and external oversight entities to capture and address evolving organizational reporting requirements.
• Translate complex technical reporting architectures and data insights into concise, executive-level briefings and strategic recommendations for agency leadership.
• Exercise sound judgment in guiding reporting initiatives through high-priority fiscal cycles, statutory deadlines, and critical operational milestones.

Data Governance, Security, and Compliance:

• Design, implement, and enforce complex Row-Level Security (RLS) frameworks to strictly control data access on a need-to-know basis for sensitive payroll, benefits, and personnel records.
• Oversee secure tenant management, capacity planning (Power BI Premium/Fabric capacities), and data storage/transmission standards to safeguard sensitive health (PHI) and financial data.
• Maintain strict compliance with state public records laws, Freedom of Information Act (FOIA) requirements, and relevant privacy mandates.

Operational & System Support:

• Provide after-hours and weekend support as needed for feature set releases, major system deployments, and critical operational efforts.

Knowledge of:

• Principles, practices, and trends in public administration, business operations, and organizational management.
• Modern BI stacks, data acquisition, data warehouse architecture, storage, and information security standards.
• Applicable federal/state laws, statutes, and policies regarding public records (FOIA) and data privacy.
• Data analysis and reporting standards, workflow engineering, and development lifecycles.
• Qualitative and quantitative analysis methodologies to measure program efficacy and business use cases.
• Analytical software and visualization tools (e.g., SAS, STATA, SPSS, Tableau, Power BI).

Skills in:

• Interpersonal communications and establishing working relationships across diverse stakeholder groups.
• Designing and deploying change-management frameworks to drive tool adoption.
• Translating highly complex, technical data structures into transparent, citizen-facing, and executive-level business insights.
• Project planning, coordination, and implementing large-scale BI initiatives.
• Providing technical assistance, guidance, and coaching to lower-level workers and business partners.

Ability to:

• Solve highly complex technical and operational issues.
• Read, interpret, and implement complex technical information and solutions.
• Guide and focus decision-making across disparate departments and hierarchies.
• Synthesize facts, administrative opinions, and data inputs into actionable work plans and standards.
• Exercise sound judgment and demonstrate continuous effort to streamline and improve operations.

Experience:

• Minimum of 5 years of experience in Data Analytics and Business Intelligence (BI).
• Minimum of 3 years leading and managing enterprise-level BI programs supporting large user environments (10,000+ active users).

Education:

• Bachelor’s or Master’s degree in Data Analytics, Finance, Public Administration, Management Information Systems (MIS), Computer Science, Information Systems, Business Management, or a closely related field.

Preferred Certifications:

• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)

• Any equivalent combination of training and experience meeting the required Knowledge, Skills, and Abilities (KSAs), typically represented by 6–10 years of experience in analytics, data, or BI leadership, including direct experience managing developers, analysts, or engineers.
• Background and reference check, including state and federal criminal records fingerprint check

If this position requires driving or the use of a vehicle as an essential function of the job to conduct State business, then the following requirements apply: Driver’s License Requirements.

All newly hired State employees are subject to and must successfully complete the Electronic Employment Eligibility Verification Program (E-Verify).

The Arizona Department of Administration offers a comprehensive benefits package to include:

• Sick leave
• Vacation with 10 paid holidays per year
• Paid Parental Leave-Up to 12 weeks per year paid leave for newborn or newly-placed foster/adopted child (pilot program)
• Health and dental insurance
• Retirement plan
• Life insurance and long-term disability insurance
• Optional employee benefits include short-term disability insurance, deferred compensation plans, and supplemental life insurance
  

By providing the option of a full-time or part-time remote work schedule, employees enjoy improved work/life balance, report higher job satisfaction, and are more productive. Remote work is a management option and not an employee entitlement or right. An agency may terminate a remote work agreement at its discretion.

Learn more about the Paid Parental Leave program here. For a complete list of benefits provided by The State of Arizona, please visit our benefits page

• Participation in ASRS Lifetime Benefit Pension Plan after 26 weeks of employment

• If you have any questions please feel free to contact Christopher Langseth at christopher.langseth@azdoa.gov for assistance.
• The State of Arizona is an Equal Opportunity/Reasonable Accommodation Employer.