Job description
The AI Finance Senior role at EY is pivotal in supporting the Finance Applications Data Lead to execute the data management strategy for finance applications. This position requires deep expertise in finance applications and enterprise data management, focusing on developing and implementing EY's AI Finance service offering. The successful candidate will collaborate closely with finance, IT, and data science teams to drive innovation and business value through advanced technologies. This role also involves engaging with clients to analyze their requirements and deliver effective system architecture solutions.
Requirements
- A bachelor's degree and approximately three years of related work experience, or a graduate degree with approximately two years of related work experience.
- Minimum of 2 years of experience in data management, with at least 1 year focused on finance application data.
- 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.
- Knowledge of finance applications including financial modeling.
Responsibilities
- Support the effective management and utilization of finance application data.
- Engage with business stakeholders to gather and analyze business requirements.
- Collaborate with technical teams to design and deliver system architecture solutions.
- Define data requirements, data architecture, and data models for finance applications.
- Lead the design and implementation of an extensible common information model for the FDL Blueprint.
Benefits
- Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.
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