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Finance Analytics and AI Manager
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:
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About Deloitte

Deloitte
Private PartnershipA 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%
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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
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