AI Finance - Manager - Tech Consulting - Location Open
About the role
The AI Finance Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise in finance applications, enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas.
Responsibilities
- Develop and implement the EY AI Finance service offering, creating an industry agnostic data model for finance applications.
- Work closely with the Data Lead and Product Owner for the EY AI Finance offering to ensure the EY AI Finance Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture.
- Interact with business stakeholders to evaluate business models, processes, and operations, gathering, understanding, and analyzing business requirements, and translating them into technical specifications.
- Provide in-depth analysis related to the implementation, customization, and optimization of specific technology platforms.
- 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
- Passionate leader with strong vision and a desire to stay on top of trends in the analytics industry.
- Genuine passion for helping businesses achieve the full potential of their data.
Benefits
- Comprehensive compensation and benefits package including medical and dental coverage, pension, and 401(k) plans.
- Flexible vacation policy allowing you to decide how much vacation time you need based on your personal circumstances.
- Hybrid model with most people in external, client serving roles working together in person 40-60% of the time over the course of an engagement, project or year.
- Equal employment opportunities provided 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, including arrest and conviction records.
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.
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.