Job Details

AI Finance - Manager - Tech Consulting - Location Open

Locations: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem

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Overview

Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.

Opportunity

The AI Finance Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise in finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas. One of the key responsibilities will focus on developing and implementing our EY AI Finance service offering, with the goal of creating an industry‑agnostic data model that can be utilized as a starting point and be extended to ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the EY AI Finance offering to ensure that the EY AI Finance Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision‑making.

Key Responsibilities

• Lead the delivery of complex technical initiatives, ensuring accountability for performance and results.
• Collaborate with technical teams to design and deliver system architecture solutions.
• Drive continuous process improvement by identifying innovative solutions through research and analysis.
• Interact with business stakeholders to evaluate business models, processes, and operations; gather, understand, and analyze business requirements, translating them into technical specifications.
• Provide in‑depth analysis related to technology platform implementation, customization, and optimization.
• Support finance, IT, and data science teams in the effective management and utilization of finance application data, harnessing Machine Learning, Generative AI, and Azure data technologies to drive innovation and business value.
• Lead workstream delivery, ensuring processes and solutions are managed effectively while maintaining focus on quality and risk management.
• Engage with clients daily, participate in planning and execution, and identify opportunities for additional services.

Qualifications

• A bachelor's degree and approximately five years of related work experience; or a graduate degree and approximately four years of related work experience.
• Minimum of 4 years of experience in data management, with at least 1 year focused on finance application data, data modeling, and financial modeling.
• Strong understanding of data management principles, including data governance, data quality, and master data management.
• Experience with Machine Learning techniques, Generative AI technologies, and Azure data services (e.g., Azure Data Lake, Azure Synapse Analytics, MS SQL, Python).
• Knowledge of finance applications, including financial modeling (PnL, Balance Sheet, Cash Flow).
• Proficiency in data integration, data transformation, and data modeling tools and techniques.
• Excellent communication, collaboration, and problem‑solving skills.
• Ability to work effectively in a fast‑paced, dynamic environment, supporting the adoption and implementation of emerging technologies.

Desired Qualifications

• Degree in Finance, Computer Science, Information Systems, or a related field with relevant experience in finance data management, data modeling, and Machine Learning.

What We Offer

• A comprehensive compensation and benefits package. Base salary range for U.S. locations is $142,600–$261,500; for New York City, Washington State, and California (excluding Sacramento) it is $171,200–$297,200. Total Rewards include medical and dental coverage, pension and 401(k) plans, and paid time off options.
• A flexible hybrid model, with most client‑serving roles working in person 40–60% of the time.
• Flexible vacation policies and designated EY Paid Holidays, break periods, personal/family care, and other leaves of absence.

Equal Employment Opportunity Statement

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities.