Finance Analytics & AI Manager

Deloitte France; New Orleans (LA); On-site; USD 150,000 - 210,000; Full time

Job summary

Deloitte is seeking a Finance Analytics & AI Manager to drive AI-enabled Finance Transformation programs. You will lead AI solution development, align client requirements with technical teams, and guide engagements across data, modeling, and deployment.

The role emphasizes strong leadership, collaboration, and delivery excellence. You will work with Finance Transformation services to deliver actionable insights, scalable data platforms, and AI-powered financial planning and analytics

Qualifications

• Bachelor's degree in Engineering, CS, or related field; equivalent practical experience.
• 6+ years of software development experience using Python.
• Experience architecting AI systems on cloud platforms (GCP, AWS, Azure).
• Experience bringing production-grade AI solutions from concept to launch.
• Experience leading customer technical discovery sessions.
• Experience building data pipelines using vector databases and RAG architectures.
• Experience with Python and SQL in AWS, GCP or Azure environments.
• Experience architecting generative and agentic AI across infra, model, and app layers.
• Experience with finance data use cases (planning, forecasting, close, etc.).
• Ability to travel ~50% and willingness for sponsorship where available.

Responsibilities

• Lead AI solution development and manage day-to-day client relationships.
• Serve as a techno-functional bridge between stakeholders and delivery teams.
• Lead small engagements within larger programs delivering AI-enabled solutions.
• Collaborate with developers to translate design into build specs.
• Translate business needs into AI design requirements.
• Engage clients to identify AI use cases and define solution design requirements.
• Perform assessments using quantitative and qualitative techniques.
• Define scope, objectives, and delivery plans; oversee architecture and delivery.
• Support proposals, RFPs, and mentor team members.

Skills

Independent work

Written communication

Verbal communication

Attention to detail

Relationship building

Project leadership

multitasking

Education

Bachelor's degree in Engineering, CS, or related field

Master's degree in CS/Data Science/Analytics/Finance/Math/Statistics

Tools

Python

SQL

Cloud platforms (GCP/AWS/Azure)

Vector databases

RAG architecture

AI infra (NVIDIA/AWS/GCP/Azure)

LLM platforms (GPT-4o/ Claude/ Gemini)

Finance platforms (SAP/Oracle/Anaplan/OneStream/Workday)

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 Manager on the Finance Transformation team, 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 Managers are expected to contribute to the firm's growth and development in a variety of ways.

• Lead AI solution development and deployment, managing day-to-day client relationships, and ensuring quality, performance, and technical outcomes meet client expectations
• Serve as a techno-functional bridge between client stakeholders and technical delivery teams - clarifying requirements, resolving design ambiguities, and providing solution guidance
• Lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises
• Partner with developers and technical teams to translate design requirements into build specifications, providing functional guidance throughout development, testing, and deployment
• Translate client business needs and finance process requirements into clear AI-related functional and technical design requirements, ensuring solutions are both technically sound and aligned to business outcomes
• Engage clients to identify business issues and high-impact AI use cases, shaping hypotheses, value cases, and solution design requirements
• Perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods, to inform solution architecture and design decisions
• Define scope, objectives, requirements, and delivery plans; managing solution architecture planning through execution, delivery, and post-implementation review
• Contributing to business development by supporting proposals, RFP responses, orals, and by mentoring and developing team members

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 mentor and 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 the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights.

Qualifications

Required:

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 6+ 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
• One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, Snowflake, Databricks
• 2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams

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.