AI Finance - Senior Manager - Tech Consulting
Listed on 2025-12-01
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IT/Tech
Data Analyst, Data Science Manager
AI Finance - Senior Manager - Tech Consulting - Location Open
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 to build a better working world.
Consulting – Tech Consulting – Fin Tech – AI Finance – Senior ManagerWhole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.
Theopportunity
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 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 “FDL consulting blueprint” service offering, with the goal of creating an industry‑agnostic data model that can be utilized as a starting point and 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 FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision‑making.
Key Responsibilities
- Leading the design and delivery of system architecture solutions in collaboration with technical teams.
- Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
- Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.
- Proven ability to manage and deliver complex solutions.
- Fostering relationships with client personnel at appropriate levels; consistently delivering quality client services.
- Monitoring progress, managing 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 and coaching.
- Fostering an innovative and inclusive team‑oriented work environment; actively mentoring junior consultants.
- 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…
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