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, 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.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

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 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, creating an industry‑agnostic data model that can be used as a starting point and extended to ensure data consistency and interoperability across finance applications. The role works closely with the Data Lead and Product Owner to design the EY AI Finance Blueprint 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 maintaining a focus on quality and risk management.
• Engage with clients daily, participate in planning and execution, and identify opportunities for additional services.
• Develop, document, and maintain data dictionaries, entity‑relationship diagrams, and data lineage maps.
• Support the establishment and maintenance of a robust data governance framework for the FDL.
• Stay current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identify and implement innovative solutions.

• Foster relationships with client personnel at appropriate levels, consistently delivering quality client services.
• Monitor progress, manage risk, and keep stakeholders informed about progress and expected outcomes.
• Manage expectations of client service delivery and effectively motivate client engagement teams with diverse skills and backgrounds.
• Provide constructive on‑the‑job feedback and coaching to team members.
• Foster an innovative, inclusive team‑oriented work environment and mentor junior consultants.
• Support execution of the overall data management strategy for finance applications.
• Collaborate with cross‑service line teams (Finance, Managed Services, Tech Consulting) to ensure alignment and integration of finance application data with related initiatives.
• Define data requirements, architecture, and models for finance applications, considering Machine Learning and Gen AI.
• Lead the design and implementation of an extensible common…