AI Finance - Manager - Tech Consulting

AI Finance - Manager - Tech Consulting - Location Open

Join EY as an AI Finance Manager and help clients realize the value of their IT investments through finance process efficiency, enterprise intelligence, and advanced analytics.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

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 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 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.

• 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 Machine Learning, Gen AI, and Azure data technologies to drive innovation.
• Lead workstream delivery, ensuring processes and solutions are managed effectively while maintaining 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 delivering quality client services.
• Monitoring progress, managing risk, and confirming stakeholders are kept informed about progress and expected outcomes.
• Managing expectations of client service delivery and effectively motivating engagement teams.
• Providing constructive on‑the‑job feedback and coaching to team members.
• Fostering an innovative and inclusive team‑oriented work environment and mentoring junior consultants.
• Supporting Data Management Strategy execution and collaborating with cross‑service line teams.
• Defining data requirements, architecture, and models for finance applications.
• Leading the design and implementation of an extensible common information model for the FDL Blueprint.
• Developing and maintaining documentation, including data dictionaries, ER diagrams, and data lineage maps.
• Leading the development and implementation of the FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Collaborating with data scientists and finance SMRs to apply Machine Learning and Gen AI techniques.
• Supporting the establishment and maintenance of a robust data governance framework.
• Staying current with latest advancements in Machine Learning, Gen AI, Data Management, and Azure technologies.

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