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Finance Analytics & AI Manager

Deloitte

Los Angeles, CAJobSeen 1mo agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
Los Angeles, CA
Work Authorization
Not specified • Visa sponsorship

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Deloitte seeks a Finance Analytics & AI Manager to lead AI solution development, serve as a techno‑functional bridge, and drive AI‑enabled business solutions for finance transformation clients, contributing to business development and team mentorship.

Skills & qualifications

RequiredNice to have

Skills

PythonStructured Query Language (SQL)Google Cloud Platform (GCP)Amazon Web Services (AWS)Microsoft AzureGenerative AIAgentic AIFinance Data AnalysisProject LeadershipCommunicationAttention to DetailRelationship BuildingMentoringMulti-Agent Systems Frameworks (LangGraph, CrewAI, ADK)LLM-Native MetricsSAPOracleAnaplanOneStreamWorkday

Qualifications

Bachelor's Degree in Engineering, Computer Science, or Related Field or Equivalent Practical Experience6+ Years of Experience With Software Development Using Python or Similar Coding LanguagesExperience Architecting AI Systems on Cloud PlatformsExperience Taking Production-Grade AI-Driven Solutions From Conception to LaunchExperience Leading Technical Discovery Sessions With CustomersExperience Building Pipelines for Structured and Unstructured Data Using Vector Databases and RAG ArchitecturesExperience Using Python and Structured Query Language (SQL) to Develop Analytics, Machine Learning, Data Engineering, or Automation Solutions in AWS, GCP, or AzureExperience Architecting Generative and Agentic AI Solutions Across Infrastructure, Model, and Application LayersExperience Working With Finance Data and Use Cases Related to Planning, Budgeting, Forecasting, Close, Profitability, or Cost AllocationsAbility to Travel 50%Master's Degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or StatisticsExperience Implementing Multi-Agent Systems Using Frameworks (e.g., LangGraph, CrewAI, ADK) and Patterns (e.g., ReAct, Self-Reflection, Hierarchical Delegation)

Full 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, and 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.

How this job compares

Set against the 18,884 open Manager jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This postingNot listed
  • California median$133–249K/yr1,439 salary ranges
  • California median$22–24/hr127 hourly ranges
Openings
Olive Jobs lists 1,740 open Manager jobs in California and 18,884 across the US. 1% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 6 years of experience; Manager postings that state a minimum ask for 5 years at the median (12,798 postings).
Education
This posting asks for a bachelor's degree; 10,183 of the 18,884 open Manager jobs (54%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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