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Director, Analytics, Automation, and Intelligence Solutions

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: University of Chicago
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    Data Science Manager, Business Systems & Technology Analysis, Information Security & Data Protection, Data Analyst
Salary/Wage Range or Industry Benchmark: 170000 - 180000 USD Yearly USD 170000.00 180000.00 YEAR
Job Description & How to Apply Below
Director, Analytics, Automation, and Intelligence Solutions

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Director, Analytics, Automation, and Intelligence Solutions

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University of Chicago provided pay range

This range is provided by University of Chicago. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr


Department

F&A ITS
- Enterprise Applications and Services


About the Department

ITS collaborates with campus partners to support the mission of the University of Chicago through the consistent delivery of high-quality solutions and services. We provide secure, stable, and reliable infrastructure and applications to support the mission of the University. We support and enable faculty research and teaching with the effective use of technology. We simplify the technology experience for faculty, students, alumni, and staff, and we ensure technology is mobile-friendly and accessible.

We identify, manage, and mitigate the technology risks of the University.


Job Summary

The Director of Analytics, Automation, and Intelligence Solutions is responsible for strategic and operational leadership in centralized data governance, analytics platforms, and business intelligence solutions while fostering collaboration, innovation, and proactive engagement. The role promotes robust security and governance practices, empowers teams through professional development, and builds strong partnerships to meet institutional goals. Reporting to the AVP of Enterprise Applications and Services, this position leads a team of managers and professionals, ensuring alignment with operational strategies and institutional priorities.


Responsibilities

  • Defines and executes a strategic vision for analytics, automation, AI technologies, and data governance that balances innovation with secure development practices.
  • Leads and mentors a team of managers and employees, encouraging proactive engagement and professional growth through structured development plans and continuous learning opportunities.
  • Drives collaboration across ITS and University stakeholders, ensuring alignment between technology initiatives and institutional goals.
  • Acts as a consultative partner to stakeholders, providing strategic insights, understanding business needs, and fostering two-way communication to drive solutions.
  • Promotes a collaborative approach to problem-solving and resource alignment, empowering teams to respond effectively to institutional challenges and opportunities.
  • Strengthens the team’s understanding of institutional systems and processes, ensuring informed feedback and effective decision-making.
  • Establishes and manages comprehensive governance frameworks that prioritize data quality, accessibility, and compliance while embedding secure development practices into operational workflows.
  • Conducts inventories of data assets and implements integrated solutions for seamless, secure data utilization.
  • Oversees risk management and quality assurance protocols to ensure systems are robust and aligned with institutional priorities.
  • Develops and maintains a master calendar to coordinate activities and ensure alignment with organizational priorities.
  • Enhances planning processes and adopts best practices to improve efficiency, manage risks, and achieve operational goals.
  • Advocates for investments in secure and innovative solutions that drive institutional success and stakeholder satisfaction.
  • Oversees analytics platforms to deliver actionable insights and leverage AI and automation technologies to improve operational outcomes.
  • Ensures that tools and platforms align with best practices in data governance and secure development.
  • Drives innovation by identifying opportunities to integrate emerging technologies that address institutional priorities.
  • Manages managers and professional staff. Establishes performance goals, allocates…
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