Tech Consulting - FinTech - AI Finance - Senior

EY•Hartford, DC

7d•$102,500 - $213,400•Hybrid

About The Position

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.

Requirements

A bachelor's degree and approximately three years of related work experience; or a graduate degree in the same and approximately two years of related work experience.
Minimum of 2 years of experience in data management, with at least 1 year focused on finance application data, data modeling, financial modeling.
Strong understanding of data management principles, including data governance, data quality, and master data management.
Experience with Machine Learning techniques, Gen Al technologies, and Azure data services (e.g., Azure Data Lake, Azure Synapse Analytics, MS SQL, Python).
Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow).
Proficiency in data integration, data transformation, and data modeling tools and techniques.
Excellent communication, collaboration, and problem-solving skills.
Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies.

Nice To Haves

Degree in Finance, Computer Science, Information Systems or a related field with relevant experience in the finance data management including data modeling and ML.

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 Al, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
Engage with clients, analyzing their requirements, and collaborating with technical teams to design and deliver effective system architecture solutions.
Help clients maximize their investment in technology platforms through effective use and continuous improvement.
Support Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications.
Collaborate with cross-service line teams, including Finance, Managed Services, and Tech Consulting to ensure alignment and integration of 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 Al 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.
Lead the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security.
Collaborate with data scientists and finance SMR's across service lines to identify opportunities for applying Machine Learning and Gen Al techniques to finance applications/personas and extend the FDL.
Support the establishment and maintenance of a robust data governance framework for the FDL.
Stay current with the latest advancements in Machine Learning, Gen Al, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.