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JobsDeloitte

Finance Analytics and AI Manager

Deloitte

Finance Analytics and AI Manager

Deloitte

Austin, TX; Boston, MA; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dayton, OH; Des Moines, IA; Detroit, MI; Grand Rapids, MI; Indianapolis, IN; Jericho, NY; Jersey City, NJ; Kansas City, MO; Morristown, NJ; New York, NY; Omaha, NE; Princeton, NJ; Rock Island, IL; San Antonio, TX

·

On-site

·

Full-time

·

1mo ago

Compensation

$144,200 - $265,600

Benefits & Perks

Wellness benefits

Annual team offsites

Remote work flexibility

Health, dental, and vision coverage

Flexible PTO policy

Required Skills

PyTorch

TensorFlow

Python

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 3/31/2026.

The Work You’ll Do

As a Finance Analytics & AI Manager on the Finance Transformation team, you will be responsible for:

  • You will lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises.
  • You will engage clients to identify business issues and high-impact AI use cases, shaping hypotheses and value cases.
  • You will perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods.
  • You will define scope, objectives, requirements, and delivery plans; manage solution architecture planning through execution, delivery, and post-implementation review.
  • You will oversee AI solution development and deployment, manage day-to-day client relationships, and ensure quality and performance outcomes.
  • You will contribute to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members.
    The Team

Responsible for the installation, development, operation, troubleshooting, and maintenance of package technologies. Includes defining or coordinating common processes or procedures to support package custom development, APIs, UI/UX, and process flows and handshakes.

Our Business Finance offering helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our clients deliver accurate, timely, and actionable insights.

The Finance Analytics & AI team uses data and AI to automate and enhance finance, helping CFOs make real-time decisions and drive business success through innovative solutions.

Required:

Career Experience: 6+ years’ experience in a corporate or consulting firm environment architecting and deploying Artificial Intelligence and other technical solutions

Technical Expertise: 4+years’ experience in translating technical designs into effective, scalable AI solutions across all tech layers.

Finance Processes: 4+ years’ experience in working with core finance processes, including FP&A, reporting and treasury.

Education: STEM based bachelor’s degree from an accredited university.

Travel: Ability to travel up to 50%, based pm the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred

Finance Transformation: 4+ years’ experience in finance transformation and process improvement across ERP/EPM, data, and project management.

Sales Activities: 2 + years’ experience with pre-sales, proposals, and RFP activities.

AI Use Cases: 2+ years’ experience identifying generative AI use cases.

Mentorship: 2+ years’ experience mentoring and coaching junior staff.

Education: Master’s degree from a STEM-designated program

Certifications: Accredited with AI or ML certifications (e.g., AWS, Google Data Analytics, Microsoft Azure).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,200 - $265,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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About Deloitte

Deloitte

Deloitte

Private Partnership

A business consulting company that offers audit, consulting, financial advisory, and tax services.

10,001+

Employees

London

Headquarters

Reviews

3.4

17 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.8

Career

2.2

Management

1.5

25%

Recommend to a Friend

Pros

Professional development and certification support

Opportunities to work on critical projects

Recognition of high performers

Cons

Poor management and leadership decisions

Unfair promotion processes despite good performance

Layoffs and job insecurity

Salary Ranges

87,539 data points

Junior/L3

L3

L4

L5

L6

L7

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L1

0 reports

$87,727

total / year

Base

-

Stock

-

Bonus

-

$74,568

$100,886

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Hiring Manager Interview

4

Behavioral Interview

5

Team/Panel Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Case Study

Past Experience

Culture Fit