Finance Analytics & AI Manager

Deloitte France; Columbus (OH); On-site; USD 140,000 - 200,000; Full time

Job summary

Deloitte is seeking an experienced AI Architect/Lead for Finance Transformation in Columbus, OH. You will lead AI solution development, bridge client and technical teams, and drive design from concept to deployment across large enterprises.

The role emphasizes translating business needs into robust AI design, guiding multi-disciplinary teams, and contributing to BD efforts. Travel ~50% may be required; immigration sponsorship may be limited.

Qualifications

• Bachelor's degree in Engineering, Computer Science, related field, or equivalent practical experience.
• 6+ years of software development experience using Python or similar languages.
• Experience architecting AI systems on cloud platforms (GCP, AWS, Azure).
• Proven track record taking production-grade AI solutions from concept to launch.
• Experience leading technical discovery sessions with customers.
• Experience building data pipelines for structured and unstructured data using vector databases and RAG-like architectures.
• Experience with Python & SQL to develop analytics, ML, data engineering, or automation on AWS/GCP/Azure.
• Experience architecting generative/agentic AI across infra, model, and app layers; familiarity with NVIDIA/AWS/GCP/Azure stack and GPT-4o/Claude/Llama apps.
• Experience with finance data use cases (planning, budgeting, forecasting, close, profitability, cost allocations).
• Ability to travel ~50% and willingness for limited immigration sponsorship.

Responsibilities

• Lead AI solution development and deployment, managing client relationships and ensuring quality and outcomes.
• Serve as a techno-functional bridge between client stakeholders and delivery teams to clarify requirements.
• Lead engagements or workstreams identifying, designing, and implementing AI-enabled solutions for large enterprises.
• Partner with developers to translate requirements into build specifications and provide guidance through development and deployment.
• Translate business needs into AI design requirements aligned to business value.
• Engage clients to identify issues and high-impact AI use cases; shape hypotheses and solution design.
• Perform assessments using quantitative/qualitative methods to inform architecture and design decisions.
• Define scope, objectives, requirements, and delivery plans; manage architecture planning through execution and post-implementation review.
• Contribute to business development by supporting proposals, RFPs, and mentoring teams.

Skills

Python

SQL

AI systems architecture

Data pipelines

Cloud platforms

Technical discovery

Pre-sales support

Leadership

Education

Bachelor's degree in Engineering/CS or related field

Master's degree (preferred)

Tools

AWS

GCP

Azure

NVIDIA/AI infra

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

• 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.