Finance Analytics & AI Senior Consultant

Deloitte France; Indianapolis (IN); On-site; USD 120,000 - 170,000; Full time

Job summary

Deloitte France is seeking a highly skilled AI-enabled finance transformation professional to help design and deliver data-driven finance solutions. You will work across strategy, data, and technology to enable planning, budgeting, forecasting, close, and profitability using AI, ML, and cloud platforms.

The role requires collaboration with cross-functional teams, ability to travel, and experience with Python, SQL, and cloud services; you will translate client needs into scalable,

Qualifications

• Bachelor's degree in one of the listed fields or equivalent practical experience.

Responsibilities

• Support the 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 such as planning, budgeting, forecasting, profitability, close, and consolidations.
• Analyze business, functional, and technical requirements and translate them into AI-related design requirements, solution designs, workflows, and implementation plans.
• Partner with developers and technical teams to build AI-enabled solutions, providing functional guidance and design clarification throughout development and testing.
• Develop and support data, analytics, and AI assets using Python, SQL, and cloud-based platforms.
• Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications, helping translate client needs into technical solution requirements.
• Identify delivery risks, track dependencies, and support project execution across cross-functional teams

Skills

Independence

Team collaboration

Communication skills

Relationship building

Project leadership

Multitasking

Professional demeanor

Deadline orientation

Guidance to others

Education

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

Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience

Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics

Tools

LangGraph

CrewAI

ADK

NVIDIA

AWS

GCP

Azure

GPT-4o

Claude

Llama

Job description

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.

Recruiting for this role ends on 12/01/2026

Work you'll do

• Support the 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 such as planning, budgeting, forecasting, profitability, close, and consolidations
• Analyze business, functional, and technical requirements and translate them into AI-related design requirements, solution designs, workflows, and implementation plans
• Partner with developers and technical teams to build AI-enabled solutions, providing functional guidance and design clarification throughout development and testing
• Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
• Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications, helping translate client needs into technical solution requirements
• Identify delivery risks, track dependencies, and support project execution across cross-functional teams

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Within our Finance Transformation offering, the Business Finance team helps unlock strategic value through enhanced financial planning, forecasting, and analytics capabilities. By combining next-generation processes, scalable data platforms, and AI, we deliver insights that are accurate, timely, and actionable.

Qualifications

Required:

• Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 4+ years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience leading technical discovery sessions with customers.
• Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise 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.
• Limited immigration sponsorship may be available.

Preferred:

• Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics

• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday

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.

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.