Finance AI Manager

Manager role focused on leading engagements to identify, design, and implement AI-enabled business and technology solutions for large enterprises, specifically within the finance function. This involves client engagement, use case identification, solution development and deployment, and contributing to business development. The role emphasizes generative AI and agentic AI solutions, with a focus on automating, accelerating, and augmenting finance operations.

What you'd actually do

  1. You will lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises.
  2. You will engage clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases.
  3. You will perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods.
  4. You will define scope, objectives, requirements, and delivery plans; manage solution architecture planning through execution, delivery, and post-implementation review.
  5. You will oversee AI solution development and deployment, manage day-to-day client relationships, and ensure quality and performance outcomes.

Skills

Required

  • Consulting experience
  • Architecting and deploying AI solutions
  • Generative AI solutions
  • Cloud platforms (AWS, Azure, or GCP)
  • End-to-end AI solution deliveries
  • Finance domains (FP&A, controllership, tax, treasury, reporting)
  • Product roadmaps
  • Prioritizing features
  • Cross-functional teams
  • Responsible AI practices
  • KPIs and success metrics for AI solutions
  • Technical documentation
  • User guides for AI solutions

Nice to have

  • AI/ML certifications
  • Defining and prioritizing generative AI use cases
  • Integrating applications and services via APIs
  • Pre-sales activities
  • Proposals
  • RFP responses
  • Microsoft Word, Excel, PowerPoint, Outlook, and Teams
  • Mentoring or coaching junior practitioners
  • Master’s degree
  • STEM-designated program degree

What the JD emphasized

  • 7+ years of experience in consulting (professional services) or industry architecting and deploying artificial intelligence solutions and other technical solutions.
  • 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+ 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.
  • 1+ proof of concept using agentic AI for end-to-end process automation.

Other signals

  • AI-enabled business and technology solutions
  • AI use cases
  • AI solution development and deployment
  • Finance AI team focuses on automating, accelerating, and augmenting the finance function through data and AI models
  • advising, implementing, and operating innovative AI solutions
  • designing and delivering generative AI solutions
  • end-to-end AI solution deliveries
  • defining product roadmaps and prioritizing features with cross-functional teams
  • defining and prioritizing generative AI use cases
  • integrating applications and services via APIs
  • applying responsible AI practices for model training, evaluation, and deployment
  • proof of concept using agentic AI for end-to-end process automation
  • defining and tracking KPIs and success metrics for generative or predictive AI solutions
  • creating technical documentation and user guides for AI solutions