AI Finance - Manager - Tech Consulting

AI Finance Manager – Tech Consulting

Location:

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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AI Finance – Manager

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.

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 (Gen 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 which 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.

• 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.
• Support the effective management and utilization of finance application data, harnessing Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value.
• Lead workstream delivery, ensuring processes and solutions are managed effectively while focusing on quality and risk management.
• Engage clients daily, participate in planning and execution, and identify opportunities for additional services.

• Fostering relationships with client personnel at appropriate levels.
• Consistently delivering quality client services and high‑quality work products.
• Monitoring progress, managing risk, and keeping key stakeholders informed.
• Managing expectations of client service delivery.
• Motivating client engagement teams and providing constructive coaching.
• Supporting an innovative and inclusive team‑oriented environment.
• Supporting Data Management Strategy Execution for finance applications.
• Collaborating with cross‑service line teams (Finance, Managed Services, Tech Consulting).
• Defining data requirements, architecture, and models for finance applications.
• Leading design and implementation of an…