Data Analytics Manager

Pay Range: $52.34 - $68.08/hr. | $108,870- $141,530 annual compensation

Job Posting Closing on: Monday, October 19, 2026 📅  

Workdays & Hours: Monday – Friday 8am – 5pm; Some evening/weekend work required.

Benefits for this position include: 11 Paid Holidays, Medical, Dental, Vision, Paid Time Off, Pension Plan, Professional Development Opportunities. Find Out More!

The City of Fort Worth is one of the fastest growing large cities in the U.S. Our employees serve the needs of over 1,000,000 residents, promoting our values of exceptional customer experience, mutual respect, embracing our diversity, continuous improvement, ethical behavior, and accountability. 🌆

A Data Analytics Manager job is available with the City of Fort Worth FWLab department’s Analytics & Intelligence (A&I) Division. This role leads the Data & Artificial Intelligence (DAI) team, made up of four Senior Data Science Analysts plus two to three interns as capacity allows, and serves as the City’s central hub for data analytics, data science, artificial intelligence, data governance, and innovative technical solutions. The team’s work spans financial and budget analysis, GIS, machine learning, AI agent and bot development, dashboarding, automation, data governance, and the citywide data inventory.

The Manager reports to the A&I Assistant Director and partners closely with the division's Business Strategy & Performance and Systems & Database teams, the Budget and Revenue divisions of FWLab, along with departments citywide to drive data-driven decision making.

Given the enterprise-wide reach of this work, the ideal candidate is a hands-on practitioner as well as a leader, comfortable building dashboards, automations, and AI agents alongside the team (using tools such as Copilot Studio and Microsoft Azure AI Foundry), and moves easily between technical delivery, strategic thinking, and relationship building across a large, complex organization.

Minimum Qualifications:

• Bachelor’s Degree in Computer Science, Finance, Economics, Information Technology, Public Administration, or Business Administration and at least
• Five (5) years’ experience in performing financial or data analysis experience

Preferred Qualifications: 

• Experience leading a data analytics, data science, or AI function, including direct supervision of technical staff, hiring, performance management, workload prioritization, and technical quality review of analytical delivera
• Hands-on proficiency with analytics and development tools (e.g., SQL, Python, Power BI, Excel, GIS) and with AI and automation platforms, with the ability to build and deliver work directly rather than only oversee it