AI Finance - Manager - Tech Consulting - Location Open

AI Finance Manager 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. Join EY and help to build a better working world. 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 and 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 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 include: Leading the delivery of complex technical initiatives, ensuring accountability for performance and results. Collaborating with technical teams to design and deliver system architecture solutions. Driving continuous process improvement by identifying innovative solutions through research and analysis. Skills and attributes for success include: Fostering relationships with client personnel at appropriate levels. 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. Fostering an innovative and inclusive team-oriented work environment. Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications. Collaborating with cross-service line teams 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 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. Knowledge of finance applications including financial modeling. 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. 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. At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. 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.

Created: 2026-03-05