AI Finance - Manager - Tech Consulting - Location Open

About the role

The AI Finance Manager supports the Finance Applications Data Lead in executing the overall data management strategy for finance applications. Key responsibilities include developing and implementing the EY AI Finance service offering, focusing on creating an industry-agnostic data model for finance applications.

Responsibilities

• 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

• Fostering relationships with client personnel at appropriate levels.
• Maintaining quality client services.
• Managing risk and keeping stakeholders informed.
• Managing client engagement teams.
• Leading process improvement through research and analysis.
• Supporting data management strategy execution.
• Collaborating with cross-service line teams.
• Defining data requirements, data architecture, and data models.
• Leading the design and implementation of an extensible common information model.
• Developing and maintaining documentation.
• Leading the development and implementation of the FDL Blueprint solution offering.
• Collaborating with data scientists and finance SMR’s.
• Supporting the establishment and maintenance of a robust data governance framework.
• Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies.

Benefits

• Comprehensive compensation and benefits package.
• Flexible vacation policy.
• Hybrid work model.
• Additional benefits such as medical and dental coverage, pension, and 401(k) plans.

Pay

$142,600 to $261,500 base salary range for all geographic locations in the US.

Schedule

Most people in external, client-serving roles work together in person 40-60% of the time over the course of an engagement, project, or year.