Finance Analytics and AI Manager

Manager role focused on identifying, designing, and implementing AI-enabled business and technology solutions for large enterprises within the finance domain. Responsibilities include client engagement, use case identification, assessments, solution architecture, development oversight, client relationship management, and business development support. Requires experience in AI/technical solutions, core finance processes, and finance transformation.

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

  • 6+ years’ experience in a corporate or consulting firm environment architecting and deploying Artificial Intelligence and other technical solutions
  • 4+years’ experience in translating technical designs into effective, scalable AI solutions across all tech layers.
  • 4+ years’ experience in working with core finance processes, including FP&A, reporting and treasury.
  • STEM based bachelor’s degree from an accredited university.

Nice to have

  • 4+ years’ experience in finance transformation and process improvement across ERP/EPM, data, and project management.
  • 2 + years’ experience with pre-sales, proposals, and RFP activities.
  • 2+ years’ experience identifying generative AI use cases.
  • 2+ years’ experience mentoring and coaching junior staff.
  • Master’s degree from a STEM-designated program
  • Accredited with AI or ML certifications (e.g., AWS, Google Data Analytics, Microsoft Azure).

What the JD emphasized

  • AI-enabled business and technology solutions
  • AI use cases
  • AI solution development and deployment
  • core finance processes
  • finance transformation

Other signals

  • AI-enabled business and technology solutions
  • AI use cases
  • AI solution development and deployment
  • Finance Transformation team
  • AI, our clients deliver accurate, timely, and actionable insights
  • Finance Analytics & AI team uses data and AI to automate and enhance finance