Senior FP&A & Reporting Lead - AI-Driven Financial Insights

University of Chicago; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

The University of Chicago is seeking a Senior Manager for Financial Planning & Analysis to stabilize and optimize financial processes around the new ERP system. You will lead modeling, forecasting, and variance analysis for BSD/UCM funds, developing tools, training, and procedures to reduce risk and improve efficiency.

Responsibilities include partnering with BSD leadership and finance teams, ensuring data integrity across FP&A databases, and driving data-driven decision making while leveraging

Qualifications

• BA/BS degree in related field required; 7+ years in a related FP&A discipline.
• Strong financial modeling, forecasting, variance analysis, and reporting skills.
• Experience with data integrity, analytics, and process improvement initiatives.

Responsibilities

• Partner with BSD/UCM stakeholders to design and improve reporting and data collection.
• Ensure data integrity across FP&A databases and shared BSD/UCM databases.
• Deliver recurring and ad-hoc reporting to support strategic decisions.
• Troubleshoot and improve analytic processes; leverage AI tools to scale outputs.
• Develop training materials, SOPs, and process maps for new systems.
• Support implementation and change management around the ERP system.

Skills

Financial modeling

Forecasting

Variance analysis

Data integrity

Reporting

Stakeholder collaboration

Process improvement

AI tool usage

Education

Bachelor's degree in related field

Tools

ERP systems

AI tooling

Job description

The University of Chicago is seeking a Senior Manager for Financial Planning & Analysis to stabilize and optimize financial processes around the new ERP system. You will lead modeling, forecasting, and variance analysis for BSD/UCM funds, developing tools, training, and procedures to reduce risk and improve efficiency.

Responsibilities include partnering with BSD leadership and finance teams, ensuring data integrity across FP&A databases, and driving data-driven decision making while leveraging