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 the EY AI Finance Blueprint, ensuring data consistency and interoperability across finance applications.
• Interact with business stakeholders to evaluate business models, processes, and operations, gathering, understanding, and analyzing business requirements.
• 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

• 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.

Skills and Attributes

• Foster relationships with client personnel at appropriate levels.
• Consistently run and deliver quality client services.
• Drive high-quality work products within expected time frames and on budget.
• Monitor progress, manage risk, and keep key stakeholders informed about progress and expected outcomes.
• Manage expectations of client service delivery.
• Effectively manage and motivate client engagement teams with diverse skills and backgrounds.
• Provide constructive on-the-job feedback/coaching to team members.
• Foster an innovative and inclusive team-oriented work environment.
• Play an active role in the counseling and mentoring of junior consultants within the organization.
• 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 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 our FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Collaborate 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.
• 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.

Qualifications

• Passionate leader with strong vision and a desire to stay on top of trends in the analytics industry.
• A genuine passion for helping businesses achieve the full potential of their data.
• Relevant experience in the finance data management including data modeling and ML.

Benefits

Comprehensive compensation and benefits package including medical and dental coverage, pension, and 401(k) plans, and a wide range of paid time off options.

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.