AI Finance - Senior - Tech Consulting

AI Finance – Senior – Tech Consulting – Location Open

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The AI Finance Senior 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 deep expertise in finance applications (planning, reporting, close/consolidation) coupled with skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas.

One of the key responsibilities is to develop and implement EY’s AI Finance service offering, creating an industry‑agnostic data model that ensures data consistency and interoperability across finance applications. You will work closely with the Data Lead and the Product Owner to design a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision‑making.

• Engage with business stakeholders to gather and analyze business requirements.
• Collaborate with technical teams to design and deliver system architecture solutions.
• Tailor technology platforms to align with business processes and objectives.

• Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high‑quality work products within expected time frames and on budget.
• Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on‑the‑job feedback/coaching to team members.
• Fostering an innovative and inclusive team‑oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
• Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications.
• Collaborating with cross‑service‑line teams, including Finance, Managed Services, and Tech Consulting to ensure alignment and integration of finance application data with related data initiatives.
• Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies.
• Leading the design and implementation of an extensible common information model for the FDL Blueprint.
• Developing and maintaining documentation, including data dictionaries, entity‑relationship diagrams, and data lineage maps.
• Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL.
• Supporting the establishment and maintenance of a robust data governance framework for the FDL.
• Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.

• A bachelor's degree and approximately three years of related work experience; or a graduate degree in the same and 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, 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…