AI Finance - Manager - Tech Consulting - Location Open

About the role

The AI Finance Manager 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), enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas.

Responsibilities

• Develop and implement the EY AI Finance service offering, focusing on creating an industry agnostic data model for finance applications.
• Work closely with the Data Lead and Product Owner for the EY AI Finance offering to ensure the EY AI Finance Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture.
• Interact with business stakeholders to evaluate business models, processes, and operations, gathering, understanding, and analyzing business requirements, and translating them into technical specifications.
• Provide in-depth analysis related to the implementation, customization, and optimization of specific technology platforms.
• Lead the delivery of complex technical initiatives, ensuring accountability for performance and results.
• Collaborate with technical teams to design and deliver system architecture solutions.
• Drive continuous process improvement by identifying innovative solutions through research and analysis.

Requirements

• 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.
• Minimum of 4 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 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.
• Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies.

Qualifications

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

Skills and attributes for success

• Fostering relationships with client personnel at appropriate levels.
• Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on-the-job feedback/coaching to team members.
• Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
• 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 Gen 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 our FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL.
• Sustaining the establishment and maintenance of a robust data governance framework for the FDL.
• Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.

Pay

The base salary range for this job in all geographic locations in the US is $142,600 to $261,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $171,200 to $297,200. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.