AI Finance - Senior - Tech Consulting - Location Open

About the role

The AI Finance Senior role is crucial for supporting the Finance Applications Data Lead in executing the data management strategy for finance applications. The role involves leveraging deep expertise in finance applications, data management, and machine learning to support key finance personas.

Responsibilities

• Develop and implement EY's AI Finance service offering, focusing on creating an industry-agnostic data model for finance applications.
• Work with the Data Lead and Product Owner for the EY AI Finance solution to ensure the blueprint is designed on a solid foundation of finance application data architecture.
• Engage with business stakeholders to evaluate business models, processes, and operations, and translate business requirements into technical specifications.
• Provide in-depth analysis related to implementation, customization, and optimization of technology platforms, particularly in the context of machine learning and generative AI.
• Collaborate with finance, IT, and data science teams to manage and utilize finance application data, driving innovation and business value through the development and implementation of the EY AI Finance solution offering.

Requirements

• A bachelor's degree in Finance, Computer Science, Information Systems, or a related field with relevant experience in finance data management, including data modeling and machine learning.
• Minimum of 2 years of experience in data management, with at least 1 year focused on finance application data.
• Strong understanding of data management principles, including data governance, data quality, and master data management.
• Experience with machine learning techniques, generative AI technologies, and Azure data services such as Azure Data Lake, Azure Synapse Analytics, MS SQL, and Python.
• Knowledge of finance applications, including financial modeling (P&L, Balance Sheet, Cash Flow).
• Proficiency in data integration, data transformation, and data modeling tools and techniques.
• Excellent communication, collaboration, and problem-solving skills.

Qualifications

• Passionate about helping businesses achieve the full potential of their data.
• Desire to stay on top of trends in the analytics industry.
• Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies.

Skills

• Fostering relationships with client personnel at appropriate levels.
• Driving high-quality work products within expected time frames and on budget.
• Maintaining progress, managing risk, and keeping key stakeholders informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• Providing constructive on-the-job feedback/coaching to team members.
• Fostering an innovative and inclusive team-oriented work environment.
• Supporting data management strategy execution, including helping execute the overall data management strategy for finance applications.
• Collaborating 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.
• Defining data requirements, data architecture, and data models for finance applications, considering the potential of machine learning and generative AI technologies.
• Leading the design and implementation of an extensible common information model for the FDL Blueprint.
• Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps.
• Leading the development and implementation of the FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Supporting the establishment and maintenance of a robust data governance framework for the FDL.
• Staying current with the latest advancements in machine learning, generative AI, data management, and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.