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AI Finance - Manager - Tech Consulting

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: EY
Full Time position
Listed on 2025-12-01
Job specializations:
  • Finance & Banking
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Position: AI Finance - Manager - Tech Consulting - Location Open

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

At EY, we’re all in to shape your future with confidence and help you succeed in a globally connected powerhouse of diverse teams. Join EY and help build a better working world.

The opportunity

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 that 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.

In this role, you will interact with business stakeholders to evaluate business models, processes, and operations. You will gather, understand, and analyze business requirements, translating them into technical specifications. Your expertise in specific technology platforms will be crucial in providing in‑depth analysis related to their implementation, customization, and optimization.

Your

Key Responsibilities
  • 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 the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
  • Lead workstream delivery as a Manager in Platform Business Analysis, 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.
Skills And Attributes For Success
  • Fostering relationships with client personnel at appropriate levels, consistently delivering quality client services.
  • Managing progress, risk, and confirming that key stakeholders are kept 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.
  • Fostering an innovative and inclusive team‑oriented work environment and mentoring junior consultants.
  • Supporting Data Management Strategy Execution for finance applications.
  • Collaborating with cross‑service line…
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