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 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 be utilized as a starting point and extended to ensure data consistency and interoperability across finance applications.

• 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.
• 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.
• Work closely with finance, IT, and data science teams to develop and implement the EY AI Finance solution offering.
• Define data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies.
• Lead the design and implementation of an extensible common information model for the FDL Blueprint.
• Develop and maintain documentation, including data dictionaries, entity‑relationship diagrams, and data lineage maps.
• Collaborate with data scientists and finance stakeholders to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL.
• Support the establishment and maintenance of a robust data governance framework for the FDL.
• Stay current with the latest advancements in Machine Learning, Gen AI, Data Management, and Azure technologies and identify and implement innovative solutions that drive efficiency, accuracy, and insights for finance applications.

• Fostering relationships with client personnel at appropriate levels; consistently delivering high‑quality client services.
• Managing risk, progress, and key stakeholder expectations; keeping stakeholders informed of progress and expected outcomes.
• Leading and motivating client engagement teams; providing constructive feedback and coaching.
• Creating an innovative and inclusive team‑oriented work environment; mentoring junior consultants.
• Supporting Data Management Strategy execution for finance applications.
• Collaborating with cross‑service line teams (Finance, Managed Services, Tech Consulting) to align finance application data with related initiatives.
• Defining data requirements, architecture, and models for finance applications, incorporating ML and Gen AI.
• Developing and implementing the FDL Blueprint solution offering with scalability, performance, and security.
• Working with data scientists and finance stakeholders to apply ML and Gen AI to finance applications and personas.
• Maintaining a robust data governance framework for the FDL.
• Continuously learning and applying innovations that improve finance application accuracy and insights.

• A bachelor’s degree and approximately three years of related work experience; or a graduate degree 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, and financial modeling.
• Strong understanding of data management principles, including data governance, data quality, and master data management.
• Experience with Machine Learning…