Director, Analytics, Automation, and Intelligence Solutions

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 maintainsa 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 resources and assesses policies for direct subordinates.
• Develops departmental plans to maintain administrative data. Ensures that the data is accessible, easy-to-use, flexible, and suitable for various analytical purposes, including joint analyses across multiple domains and interactions across multiple systems.
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.

Certifications:

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Preferred Qualifications

Education: 

• Bachelor’s or advanced degree.

Experience:

• Proven leadership experience in data governance, business intelligence, analytics, and AI within complex environments.
• Familiarity with managed services that can be leveraged to provide solution guidance within an organization.
• Background in consulting with constituents and stakeholders on operational and strategic n