AI Finance - Manager - Tech Consulting - Location Open

About the role

The AI Finance Manager plays a crucial role in supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. This role leverages 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, creating an industry-agnostic data model for finance applications.
• Work with the Data Lead and Product Owner to design and deliver system architecture solutions, ensuring alignment with finance application data initiatives.
• Lead the development and implementation of the EY AI Finance Blueprint, focusing on data consistency and interoperability across finance applications.
• Collaborate with cross-service line teams, including Finance, Managed Services, and Tech Consulting, to integrate finance application data with related data initiatives.
• Define data requirements, data architecture, and data models for finance applications, incorporating machine learning and generative AI technologies.
• Drive continuous process improvement by identifying innovative solutions through research and analysis.

Requirements

Minimum of 4 years of experience in data management, with at least 1 year focused on finance application data, data modeling, and financial modeling.

• 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 (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.

Skills and Attributes

• Foster relationships with client personnel at appropriate levels.
• Run and deliver quality client services.
• Manage expectations of client service delivery.
• Monitor progress, manage risk, and keep stakeholders informed about progress and expected outcomes.
• Provide constructive on-the-job feedback and coaching to team members.
• 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 generative 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.
• Develop and implement our FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Support the establishment and maintenance of a robust data governance framework for the FDL.
• Stay current with the latest advancements in machine learning, generative AI, data management, and Azure technologies and identify and implement innovative solutions that drive efficiency, accuracy, and insights for finance applications.

Qualifications

• A bachelor's degree and approximately five years of related work experience; or a graduate degree in the same and approximately four years of related work experience.
• A genuine passion for helping businesses achieve the full potential of their data.
• A degree in Finance, Computer Science, Information Systems, or a related field with relevant experience in the finance data management including data modeling and ML.