Finance Analytics & AI Senior Consultant

Senior Consultant role focused on designing and delivering finance transformation solutions leveraging AI, machine learning, automation, and generative/agentic AI capabilities. Responsibilities include architecting AI solutions across infrastructure, model, and application layers for finance use cases, analyzing requirements, developing AI assets using Python and SQL on cloud platforms, and contributing to client workshops and project execution. Requires experience with AI solutions, Python, SQL, cloud platforms, and finance data.

What you'd actually do

  1. Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
  2. Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
  3. Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
  4. Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
  5. Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications

Skills

Required

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
  • 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
  • Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
  • Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
  • Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Nice to have

  • Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
  • Experience deploying machine learning or generative and agentic AI solutions into production environments
  • Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
  • Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
  • Experience with Tableau or Microsoft Power BI

What the JD emphasized

  • 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
  • Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers
  • Experience deploying machine learning or generative and agentic AI solutions into production environments

Other signals

  • design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
  • Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases
  • Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
  • Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers
  • Experience deploying machine learning or generative and agentic AI solutions into production environments