Finance Analytics & AI Senior Consultant

Deloitte France; Omaha (NE); On-site; USD 110,000 - 160,000; Full time

Job summary

Deloitte’s Finance Transformation practice helps finance and global business services leaders navigate and leverage AI, data, and analytics to deliver value for stakeholders. As a Finance Analytics & AI Senior Consultant, you will design and deliver AI-enabled finance transformation solutions, collaborating with clients and technologists to drive planning, budgeting, forecasting, close, and profitability initiatives.

Travel ~50% may be required.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 4+ years of software development experience (Python or similar).
• Experience architecting AI systems on cloud platforms (e.g., GCP).
• Experience delivering production-grade AI-driven solutions.
• Experience leading technical discovery sessions with customers.
• Experience building data pipelines using vector databases and RAG-like architectures.
• Experience with analytics/ML/data engineering on AWS/GCP/Azure.

Responsibilities

• Support design and delivery of finance transformation solutions using data, automation, ML, and AI capabilities.
• Architect AI solutions across infra, model, and application layers for finance use cases.
• Translate business requirements into AI design requirements and implementation plans.
• Collaborate with developers to build AI-enabled solutions and provide design guidance.
• Develop and support data, analytics, and AI assets using Python, SQL, and cloud platforms.
• Contribute to client workshops, solution demos, testing, and deployment activities.
• Identify risks, track dependencies, and support project execution across teams.

Skills

Independent work

Communication skills

Attention to detail

Relationship building

Project leadership

Task management

Interpersonal skills

Meeting deadlines

Providing guidance

Education

Bachelor's degree in CS/DS/IS/Finance/Accounting/Engineering/Math/Stats

Bachelor's degree in Engineering/CS or related field or equivalent

Tools

Python

SQL

AWS

GCP

Azure

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

As a Finance Analytics & AI Senior Consultant, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Senior Consultants are expected to contribute to the firm's growth and development in a variety of ways.

• 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 testingDevelop 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:

• 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

One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, Snowflake, Databricks

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.