Finance Analytics & AI Senior Consultant

Senior Consultant role focused on designing and delivering finance transformation solutions using AI, including generative and agentic AI capabilities. Responsibilities include architecting AI solutions, analyzing requirements, developing data and AI assets with Python/SQL on cloud platforms, and contributing to client engagements.

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

  • 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
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics

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

  • generative and agentic AI solutions
  • finance data and use cases
  • deploying machine learning or generative and agentic AI solutions into production environments

Other signals

  • Generative AI
  • Agentic AI
  • Finance Use Cases
  • Python
  • SQL
  • Cloud Platforms