AI Finance - Manager - Tech Consulting

AI Finance - Manager - Tech Consulting - Location Open

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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

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.

• 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.
• Work closely with finance, IT, and data science teams to support effective management and utilization of finance application data, harnessing Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value.
• Lead and manage cross‑functional project work streams, ensuring quality and risk management.
• Support the design and implementation of an extensible common information model for the FDL Blueprint and related documentation.
• Collaborate with data scientists and finance SMEs to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications.
• Support the establishment and maintenance of a robust data governance framework for the FDL.

• Fostering relationships with client personnel at appropriate levels and delivering quality client services.
• Monitoring progress, managing risk, and keeping stakeholders informed.
• Managing expectations of client service delivery.
• Effectively managing and motivating client engagement teams.
• Fostering an innovative and inclusive team‑oriented work environment, mentoring junior consultants.
• 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, incorporating ML and Gen AI potential.
• Leading design and implementation of scalable, secure solutions.
• Staying current with advancements in Machine Learning, Gen AI, Data Management and Azure technologies.

• Bachelor's degree and approximately five years of related work experience, or graduate degree with 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 governance, data quality, and master data management principles.
• Experience with Machine Learning techniques, Gen AI technologies, and Azure data services (e.g., Azure Data…