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) coupled with deep 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 will focus on developing and implementing EY’s AI Finance service offering, with the goal of creating an industry‑agnostic data model that can be utilized as a starting point and extended to ensure data consistency and interoperability across finance applications. The successful candidate 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.
• Work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing 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.
• Play a pivotal role in the successful delivery of projects, leading workstream delivery, ensuring processes and solutions are managed effectively while maintaining a focus on quality and risk management.
• Engage with clients daily, participate in planning and execution, and identify opportunities for additional services.

• 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…