Join our Finance Transformation team to help unlock financial performance and enterprise value. We serve as trusted advisors to CFOs, COOs, CIOs, and other senior leaders-providing strategic guidance, implementing solutions, and delivering as-a-service offerings. Our focus is on modernizing finance, shared services, and real estate operations while enabling enterprise-wide decision-making with data and AI. You'll help clients automate, accelerate, and augment the finance function so it remains dynamic, forward-looking, and integral to business success. Recruiting for this role ends on 5/31/2026. Work you'll do As a Finance AI Manager on the Finance Transformation team, you will be responsible for: \\+ You will lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises. \\+ You will engage clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases. \\+ You will perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods. \\+ You will define scope, objectives, requirements, and delivery plans; manage solution architecture planning through execution, delivery, and post-implementation review. \\+ You will oversee AI solution development and deployment, manage day-to-day client relationships, and ensure quality and performance outcomes. \\+ You will contribute to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members. The team Our Business Finance offering empowers finance teams to drive strategic value by transforming and synchronizing planning, costing, budgeting, and forecasting across functions. Using scalable data and technology platforms, we generate actionable insights and analytics, streamline decision-making, and enable data-driven profitable growth. We also manage risks and opportunities associated with complex grant programs through end-to-end grants management solutions. The Finance AI team focuses on automating, accelerating, and augmenting the finance function through data and AI models. We support CFOs in meeting the growing demands for real-time financial decision-making by advising, implementing, and operating innovative AI solutions. Qualifications Required: \\+ 7+ years of experience in consulting (professional services) or industry architecting and deploying artificial intelligence solutions and other technical solutions. \\+ Bachelor's degree in Business, Computer Science, Data Science, or a closely defined field from an accredited institution. \\+ 3+ years designing and delivering generative AI solutions across the technology stack, including infrastructure (e.g., AWS, Azure, GCP), model layer (e.g., GPT-4o, Claude, Llama), and application layer (e.g., ChatGPT, Claude, Gemini). \\+ 3+ years building solutions on cloud platforms (AWS, Azure, or GCP). \\+ 3+ end-to-end AI solution deliveries (proofs of concept and/or scaled solutions) demonstrating business value in finance domains such as FP&A, controllership (close and consolidation), tax, treasury, management reporting, or external reporting. \\+ 2+ years defining product roadmaps and prioritizing features with cross-functional teams (e.g., data science, engineering, finance). \\+ Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve. \\+ Limited immigration sponsorship may be available. Preferred: \\+ Bachelor's degree from a STEM-designated program; master's degree preferred. \\+ One or more AI/ML certifications (e.g., AWS, Azure, Google). \\+ 2+ years defining and prioritizing generative AI use cases using quantitative value frameworks. \\+ 2+ years integrating applications and services via APIs. \\+ 1+ year applying responsible AI practices for model training, evaluation, and deployment. \\+ 2+ years in finance transformation, accounting, ERP/EPM implementation, data management/analytics, or project management. \\+ 1+ proof of concept using agentic AI for end-to-end process automation. \\+ Experience defining and tracking KPIs and success metrics for generative or predictive AI solutions. \\+ Experience creating technical documentation and user guides for AI solutions. \\+ Experience with pre-sales activities, proposals, and RFP responses. \\+ Proficiency with Microsoft Word, Excel, PowerPoint, Outlook, and Teams. \\+ Experience mentoring or coaching junior practitioners. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,600 to $241,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

The role requires a minimum of 7 years of experience in consulting or industry, focusing on architecting and deploying artificial intelligence and other technical solutions. A Bachelor's degree in Business, Computer Science, Data Science, or a related field is necessary. Candidates must have at least 3 years of experience designing and delivering generative AI solutions across infrastructure, model, and application layers, as well as building solutions on cloud platforms like AWS, Azure, or GCP. Additionally, 3 years of experience in end-to-end AI solution deliveries demonstrating business value in finance domains is required. Experience defining product roadmaps and prioritizing features with cross-functional teams is also a key qualification.