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 and develop an industry-agnostic data model.

Responsibilities

• Support the development and implementation of the EY AI Finance service offering, focusing on creating a common information model for finance applications.
• Work closely with the Data Lead and Product Owner to ensure the EY AI Finance Blueprint is designed on a solid foundation of finance application data architecture.
• Interact with business stakeholders to evaluate business models, processes, and operations, and translate business requirements into technical specifications.
• Provide in-depth analysis related to the implementation, customization, and optimization of specific technology platforms.
• 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 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

The successful candidate must have a bachelor's degree and approximately five years of related work experience in data management, with at least one 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, is required. Experience with machine learning techniques, gen AI technologies, and Azure data services is essential. Knowledge of finance applications, such as financial modeling (PnL, Balance Sheet, Cash Flow), is necessary. Proficiency in data integration, data transformation, and data modeling tools and techniques is also required. Excellent communication, collaboration, and problem-solving skills are essential.

Qualifications

A graduate degree in finance, computer science, information systems, or a related field with relevant experience in finance data management, including data modeling and ML, is preferred.

Skills and Attributes

• Foster relationships with client personnel at appropriate levels.
• Run and deliver quality client services consistently.
• Maintain and manage expectations of client service delivery.
• Manage risk and keep key stakeholders informed about progress and expected outcomes.
• Provide constructive on-the-job feedback and coaching to team members.
• Foster an innovative and inclusive team-oriented work environment.
• Counsel and mentor junior consultants within the organization.
• Execute the overall data management strategy for finance applications.
• Collaborate with cross-service line teams, including Finance, Managed Services, and Tech Consulting.
• Define data requirements, data architecture, and data models for finance applications, considering the potential of machine learning and gen 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 the FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Collaborate with data scientists and finance SMEs across service lines to identify opportunities for applying machine learning and gen AI techniques to finance applications 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 AI, data management, and Azure technologies and identify and implement innovative solutions that drive efficiency, accuracy, and insights for finance applications.

Pay

$142,600 to $261,500 for the base salary range in all geographic locations in the US. The base salary range for New York City Metro Area, Washington State, and California (excluding Sacramento) is $171,200 to $297,200.

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. Employees are granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support their physical, financial, and emotional well-being.