AI Finance - Manager - Tech Consulting

AI Finance - Manager – Tech Consulting – Location Open

We are inviting you to bring your expertise to EY as an AI Finance Manager in the Tech Consulting team. This role is open to candidates across multiple U.S. locations.

Location options include: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, Los Angeles, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, 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.

At EY, we’re committed to shaping a better working world and helping clients harness AI and data to drive performance and innovation.

The AI Finance Manager is a key contributor to EY's data management strategy for finance applications. You will partner with finance, IT, and data science teams to design and deploy finance data models, data governance, and AI-driven solutions.

• Lead delivery of complex technical initiatives related to finance application data.
• Collaborate with technical teams to design and deliver system architecture solutions.
• Drive continuous process improvement through research and analysis, including ML and Gen AI integration.
• Support the execution of EY's Data Management Strategy for finance applications.
• Collaborate across services (Finance, Managed Services, Tech Consulting) for data alignment.
• Define data requirements, architecture, and models, and design an extensible common information model.
• Develop and maintain documentation: data dictionaries, ER diagrams, data lineage.
• Implement the FDL Blueprint solution offering with scalability, performance, and security.
• Partner with data scientists to apply Machine Learning and Gen AI to finance applications.
• Maintain robust data governance framework.

• Bachelor’s degree with ~5 years of related experience, or graduate degree with ~4 years.
• Minimum 4 years in data management, including 1 year focused on finance application data and modeling.
• Strong understanding of data governance, data quality, and master data management.
• Experience with Machine Learning techniques, Gen AI, and Azure data services (Azure Data Lake, Azure Synapse, MS SQL, Python).
• Knowledge of finance application modeling (PnL, Balance Sheet, Cash Flow).
• Proficiency in data integration, transformation, and modeling tools.
• Excellent communication, collaboration, and problem‑solving skills.
• Ability to work in a fast‑paced, dynamic environment and support emerging technology adoption.

• Degree in Finance, Computer Science, Information Systems or related field with finance data management, ML experience.

• Competitive base salary range: $142,600–$261,500 (US), with higher ranges for NYC, Washington, CA.
• Comprehensive benefits: medical, dental, 401(k), pension, paid time off.
• Hybrid work model with 40‑60% onsite expectation.
• Flexible vacation and paid holidays.

EY accepts applications on an ongoing basis. For candidates in California, additional information is available on our site.

EY is an equal‑employment‑opportunity employer and encourages applications from all qualified individuals. The company provides accommodations for qualified individuals with disabilities.