AI Finance - Manager - Tech Consulting - Location Open

Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbus, Dallas, Denver, Des Moines, Detroit, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, Los Angeles, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington, Westlake Village AI Finance, Manager, Tech Consulting Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations. The opportunity 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 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 (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 which can be utilized as a starting point and be 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. 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 their implementation, customization, and optimization. Your Key Responsibilities The AI Finance Manager will work closely with finance, IT, and data science teams to 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. As a Manager in Platform Business Analysis, you will play a pivotal role in the successful delivery of projects. You will lead workstream delivery, ensuring that processes and solutions are managed effectively while maintaining a focus on quality and risk management. This role offers you the opportunity to engage with clients daily, participate in planning and execution, and identify opportunities for additional services. 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. Skills And Attributes For Success 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 and coaching to team members. 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, 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 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 identifying and implementing 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 five years of related work experience; or a graduate degree in the same field 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 modeling, financial modeling. 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 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 the finance data management including data modeling and ML. 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 We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $142,600 to $261,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $171,200 to $297,200. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world 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 either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io. #J-18808-Ljbffr