AI Finance - Senior Manager - Tech Consulting

AI Finance - Senior Manager - Tech Consulting - Location Open

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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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 Senior 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 advanced 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 key responsibility will focus on developing and implementing our “FDL consulting blueprint” service offering, creating an industry‑agnostic data model that ensures data consistency and interoperability across finance applications.

• Work closely with finance, IT, and data science teams to manage and utilize finance application data, harnessing Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value.
• Lead the design and delivery of system architecture solutions in collaboration with technical teams.
• Tailor technology platforms to business processes, ensuring clients maximize investment through effective use and continuous improvement.
• Manage complex processes, solutions, and projects while maintaining a focus on quality and risk management.

• Proven ability to manage and deliver complex solutions.
• Foster relationships with client personnel at appropriate levels, consistently delivering high‑quality client services on time and on budget.
• Monitor progress, manage risk, and keep stakeholders informed.
• Manage expectations of client service delivery.
• Effectively manage and motivate client engagement teams with diverse skills and backgrounds, providing constructive feedback and coaching.
• Promote an innovative, inclusive, team‑oriented work environment and mentor junior consultants.
• Support Data Management Strategy Execution and help execute the overall data management strategy for finance applications.
• Define data requirements, architecture, and models for finance applications, leveraging Machine Learning and Gen AI technologies.
• Lead the design and implementation of an extensible common information model for the FDL Blueprint.
• Develop and maintain documentation, including data dictionaries, entity‑relationship diagrams, and data lineage maps.
• Collaborate with data scientists and finance SMRs across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL.
• Support the establishment and maintenance of a robust data governance framework for the FDL.
• Stay current with advancements in Machine Learning, Gen AI, Data Management, and Azure technologies, identifying and implementing innovative solutions.
• Ability to travel as required for client engagements and project needs.

• Bachelor's degree in Finance, Accounting, Business, or Computer Science.
• Minimum of…