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 closely with the Data Lead and Product Owner to design and deliver the EY AI Finance Blueprint, ensuring data architecture is accurate, consistent, and reliable.
• Interact with business stakeholders to evaluate business models, processes, and operations, gathering and analyzing business requirements to translate them into technical specifications.
• Provide in-depth analysis related to technology platform implementations, customizations, and optimizations.
• Lead workstream delivery, manage processes and solutions effectively, and maintain a focus on quality and risk management.
• Engage with clients daily, participate in planning and execution, and identify opportunities for additional services.
• Lead 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 with 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

• Fostering relationships with client personnel at appropriate levels.
• Consistently running and delivering quality client services.
• Maintaining quality work products within expected time frames and on budget.
• Monitoring 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.
• Playing an active role in the counseling 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.
• Supporting 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 role in the US is $142,600 to $261,500. For those living in California, the range is $171,200 to $297,200. Individual salaries within these 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.