AI Finance - Senior - Tech Consulting - Location Open

AI Finance - Senior - Tech Consulting - Location Open Location: Chicago Other locations: Anywhere in Region Date: May 6, 2026 Requisition ID: 1662070 Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake village, Winston-Salem The opportunity 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 their 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 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 used as a starting point and expanded 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 solution 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. In this role, you will interact with business stakeholders to evaluate business models, processes, and operations. You will gather, understand, and analyze business requirements, translating them into technical specifications. Your expertise in specific technology platforms will be crucial in providing in‑depth analysis related to implementation, customization, and optimization. Your key responsibilities 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, generative AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering. Serve as a Senior Platform Business Analyst, bridging the gap between business needs and technical solutions, engaging with clients, analyzing requirements, and collaborating with technical teams to design and deliver effective system architecture solutions. Skills and attributes for success Foster relationships with client personnel at appropriate levels and consistently deliver quality client services. Drive high‑quality work products within expected time frames and on budget. Monitor progress, manage risk, and keep stakeholders informed about progress and expected outcomes. Manage expectations of client service delivery and effectively motivate client engagement teams with diverse skills and backgrounds. Provide constructive on‑the‑job feedback and coaching to team members. Create an innovative and inclusive team‑oriented work environment and mentor junior consultants. Support Data Management Strategy execution, including the overall data management strategy for finance applications. Collaborate with cross‑service‑line teams (Finance, Managed Services, Tech Consulting) to align and integrate finance application data with related data initiatives. Define data requirements, architecture, and models for finance applications, considering the potential of machine learning and generative 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. Lead the implementation of the FDL Blueprint solution offering, ensuring scalability, performance, and security. Collaborate with data scientists and finance SMR services to identify opportunities for applying machine learning and generative AI techniques to finance applications and extend the FDL. Support the establishment and maintenance of a robust data governance framework for the FDL. Stay current with advances in machine learning, generative AI, data management, and Azure technologies, and implement innovative solutions that drive efficiency, accuracy, and insights for finance applications. To qualify for the role you must have 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 two years of experience in data management, with at least one 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 techniques, generative AI technologies, and Azure data services (e.g., Azure Data Lake, Azure Synapse Analytics, MS SQL, Python). Knowledge of finance applications, including financial modeling (PnL, Balance Sheet, Cash Flow). Proficiency in data integration, data transformation, and data modeling tools and techniques. Excellent communication, collaboration, and problem‑solving skills. Ability to work effectively in a fast‑paced, dynamic environment, supporting the adoption and implementation of emerging technologies. Ideally, you’ll also have Degree in Finance, Computer Science, Information Systems, or a related field with relevant experience in finance data management, including data modeling and machine learning. What we look for We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the analytics industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you A comprehensive compensation and benefits package, with base salary ranging from $102,500 to $187,900 in the US (adjusted by location), inclusive of medical and dental coverage, pension and 401(k) plans, and paid time off. A hybrid model that encourages collaboration, with most people in client‑serving roles expected to work in person 40–60% of the time. A flexible vacation policy that allows you to determine your vacation time based on personal circumstances, along with additional leave options for designated EY Paid Holidays, seasonal breaks, personal/family care, and other leaves. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and need assistance applying online or require an accommodation during any part of the application process, please contact EY’s Talent Shared Services Team. #J-18808-Ljbffr Ernst & Young Advisory Services Sdn Bhd