Finance Analytics & AI Manager

About the role

Recruiting for this role ends on 09/14/2026. Deloitte's Finance Transformation team seeks a Finance Analytics & AI Manager to work with clients on solving complex problems using AI and other advanced technologies.

Responsibilities

• Work with clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases
• Perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods
• Define scope, objectives, requirements, and delivery plans; manage solution architecture planning through execution, delivery, and post-implementation review
• Oversee AI solution development and deployment, manage day-to-day client relationships, and ensure quality and performance outcomes
• Contribute to business development by supporting proposals, RFP responses, and oral presentations, and by mentoring and developing team members

Qualifications

• 6+ years of experience in a corporate or consulting firm environment architecting and deploying AI and technical solutions
• 4+ years of experience translating technical designs into scalable generative and agentic AI solutions across technology layers
• 4+ years of experience working with finance processes, including financial planning and analysis, reporting, and treasury
• Bachelor's degree in a science, technology, engineering, or mathematics field from an accredited university
• Ability to travel 50% based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

Preferred Qualifications

• 4+ years of experience in finance transformation and process improvement across enterprise resource planning, enterprise performance management, data, and project management
• 2+ years of experience supporting pre-sales activities, proposals, and request for proposal responses
• 2+ years of experience identifying generative artificial intelligence use cases
• 2+ years of experience mentoring and coaching junior staff
• A Master's degree from a science, technology, engineering, or mathematics-designated program
• One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform