AI Finance - Senior Manager - Tech Consulting

AI Finance - Senior Manager - Tech Consulting - Location Open

Join us to apply for the AI Finance Senior Manager role at EY. 2 days ago – be among the first 25 applicants.

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

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 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 to support key finance personas.

One of the key responsibilities will focus on developing and implementing our “FDL consulting blueprint” service offering, creating an industry‑agnostic data model that can be extended to ensure data consistency and interoperability across finance applications.

• 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.
• 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 through the EY AI Finance solution offering.
• Play a pivotal role in leading engagement delivery and managing client relationships across various responsibilities.

• Proven ability to manage and deliver complex solutions.
• Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high‑quality work products within expected time frames and on budget.
• Monitoring progress, managing risk and keeping stakeholders informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on‑the‑job feedback/coaching to team members.
• Fostering an innovative and inclusive team‑oriented work environment. Playing an active role in counseling and mentoring junior consultants within the organization.
• Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications.
• Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies.
• Leading the design and implementation of an extensible common information model for the FDL Blueprint.
• Developing and maintaining documentation, including data dictionaries, entity–relationship diagrams, and data lineage maps.
• Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL.
• Supporting the establishment and maintenance of a robust data…