AI Finance - Senior - Tech Consulting
Listed on 2026-05-22
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Finance & Banking
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IT/Tech
Data Analyst
Location
Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbus, Dallas, Denver, Des Moines, Detroit, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, Los Angeles, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St.
Louis, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington, Westlake Village
Whole 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 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. The successful candidate will work closely with the Data Lead and the Product Owner for the EY AI Finance solution 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 implementation, customization, and optimization.
YourKey Responsibilities
- Engage with business stakeholders to gather and analyze business requirements.
- Collaborate with technical teams to design and deliver system architecture solutions.
- Tailor technology platforms to align with business processes and objectives.
- 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.
- Bridge the gap between business needs and technical solutions, engaging with clients, analyzing requirements, and collaborating with technical teams to design and deliver effective system architecture solutions.
- Provide in-depth analysis related to implementation, customization, and optimization of finance application systems.
- Travel to meet with clients and participate in project activities as required.
- 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 key stakeholders informed about progress and expected outcomes.
- Managing expectations of client service delivery.
- Effectively managing and…
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