AI-Powered Finance Analytics Manager

Deloitte France; Los Angeles (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Deloitte helps finance transformation teams navigate AI-driven disruption with strategy, data, and platform capabilities. This role leads AI solution development for large enterprises, bridging business needs with technical delivery and shaping value through AI-enabled design.

You will partner with clients and delivery teams to translate requirements into build-ready specifications, drive program outcomes, and mentor junior staff in a fast-paced, consultative environment.

Qualifications

• 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 vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
• Experience using Python and SQL to develop analytics, machine learning, data engineering, or automation solutions in AWS, Google Cloud Platform (GCP), or Microsoft Azure environments.
• Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including platforms like AWS, GCP, or Azure; model platforms like GPT-4o, Claude, or Llama; and app platforms like 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.

Responsibilities

• 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

Skills

Python

Cloud platforms

RAG architectures

Data pipelines

Communication

Leadership

Education

Bachelor's degree in Engineering or related field

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

Tools

GCP

AWS

Azure

SQL

LangGraph

Job description

Deloitte helps finance transformation teams navigate AI-driven disruption with strategy, data, and platform capabilities. This role leads AI solution development for large enterprises, bridging business needs with technical delivery and shaping value through AI-enabled design.

You will partner with clients and delivery teams to translate requirements into build-ready specifications, drive program outcomes, and mentor junior staff in a fast-paced, consultative environment.