AI Finance - Manager - Tech Consulting

AI Finance – Manager – Tech Consulting – Location Open

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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 deep expertise in finance applications (planning, reporting, close/consolidation) and 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 will focus on developing and implementing our EY AI Finance service offering, with the goal of creating an industry‑agnostic data model that can serve as a starting point and be extended to ensure data consistency and interoperability across finance applications. You will work closely with the Data Lead and the Product Owner for the EY AI Finance offering to ensure that the EY AI Finance Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision‑making.

• 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 effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
• Lead workstream delivery, ensuring that processes and solutions are managed effectively while maintaining a focus on quality and risk management.

• Fostering relationships with client personnel at appropriate levels; consistently delivering quality client services.
• Monitoring progress, managing risk, and keeping stakeholders 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 feedback and coaching.
• Fostering an innovative and inclusive team‑oriented work environment; playing an active role in counselling and mentoring junior consultants.
• 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, architecture, and 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 implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.

• A bachelor's degree and approximately five years of related work experience; or a graduate degree and…