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.
- Providing constructive feedback and mentoring.
- Executing data management strategy for finance applications.
- 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.
- Supporting the establishment and maintenance of a robust data governance framework.
- Staying current with advancements in Machine Learning, Gen AI, Data Management, and Azure technologies.
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 work 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.
- Additional benefits such as paid holidays, winter/summer breaks, personal/family care, and other leaves of absence.
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.