AI Finance - Senior - Tech Consulting
Listed on 2025-12-07
-
IT/Tech
Data Analyst -
Finance & Banking
AI Finance - Senior - Tech Consulting
Location:
Chicago
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 us build a better working world.
OverviewWhole 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, and 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 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 of the key responsibilities will focus on developing and implementing EY’s AI Finance 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.
Key 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 Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value.
- Assist in bridging the gap between business needs and technical solutions, ensuring that client workflows are optimized.
- Collaborate with cross‑service line teams to align finance application data with related data initiatives.
- Define data requirements, data architecture, and data models for finance applications, considering the potential of 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.
- Support the establishment and maintenance of a robust data governance framework for the FDL.
- Stay current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identify innovative solutions that drive efficiency, accuracy, and insights for finance applications.
- Foster relationships with client personnel at appropriate levels, consistently delivering high‑quality client services within expected time frames and budgets.
- Monitor progress, manage risk, and keep key stakeholders informed about progress and expected outcomes.
- Effectively manage expectations of client service delivery.
- Motivate and lead client engagement teams with diverse skills and backgrounds; provide constructive coaching to team members.
- Create an innovative and inclusive team‑oriented work environment and mentor junior consultants.
- Support execution of the data management strategy for finance applications.
- Collaborate with cross‑service line teams to integrate finance application data with related initiatives.
- Define data requirements, architecture, and models for finance applications.
- Drive the design and implementation of an extensible information model for the FDL Blueprint.
- Lead the development and implementation of the FDL Blueprint solution offering, ensuring scalability, performance, and security.
- Collaborate with data scientists and finance SMRs across service lines to apply Machine Learning and Gen AI techniques to finance applications/examples.
- Maintain a robust data governance…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).