AI Finance Manager — Tech Consulting (Multiple Locations)
Job posted 1 day ago.
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About the Role
We’re looking for an AI Finance Manager who will support the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage deep expertise in finance applications (planning, reporting, close / consolidation) combined with enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI).
Your Key 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.
- Support the Data Management Strategy Execution 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.
- Build and maintain a robust data governance framework for the FDL.
- Stay current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies.
Skills and Attributes for Success
Strong client relationship management and delivery of high-quality client services.Effective managing and motivating client engagement teams.Proactive in mentoring junior consultants.Excellent communication, collaboration, and problem-solving skills.Ability to work effectively in a fast‑paced, dynamic environment.Knowledgeable of data integration and transformation tools.Qualifications
Bachelor’s degree with approximately five years of related work experience; or a graduate degree with approximately four years.Minimum four years of data management experience, with at least one year focused on finance application data, data modeling, and financial modeling.Strong understanding of data management principles : data governance, data quality, and master data management.Experience with Machine Learning techniques, Gen AI technologies, and Azure data services (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.Preferred
Degree in Finance, Computer Science, Information Systems or related field with relevant experience in finance data management, data modeling, and ML.What We Offer
A comprehensive compensation and benefits package with a base salary range of $142,600 – $261,500 for U.S. locations, and California, Washington, and California (excluding Sacramento) ranges noted.Medical and dental coverage, pension and 401(k) plans, and generous paid time off.Hybrid work model with 40–60% in‑person client engagement.Flexible vacation policy and paid holidays.Job Details
Seniority Level : Mid‑Senior levelEmployment Type : Full‑timeJob Function : Finance and SalesIndustries : Professional ServicesEqual Opportunity Employer
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity / expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
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