AI Finance - Manager - Tech Consulting - Location Open. Job in Tucson Move Collective Jobs

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 Preferred locations: Atlanta, Chicago, Dallas, Denver, Houston, Los Angeles, New York/Hoboken, Philadelphia, San Francisco, Seattle, Tysons/Mclean 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 by advising on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, and 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 deep expertise in finance applications (planning, reporting, close/consolidation) coupled with data governance, data quality, master data management, Machine Learning and Generative AI (Gen AI) to support key finance personas. One key responsibility is developing and implementing EY AI Finance service offering, creating an industry‑agnostic data model that ensures data consistency and interoperability across finance applications. The candidate will work closely with the Data Lead and Product Owner for the EY AI Finance offering to ensure 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 analyse 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 optimisation. Key responsibilities 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 effective management and utilisation of finance application data, harnessing Machine Learning, Gen AI and Azure data technologies to deliver the EY AI Finance solution offering. Lead workstream delivery, ensuring processes and solutions are managed effectively while maintaining a focus on quality and risk management. Engage with clients daily, participate in planning and execution, and identify opportunities for additional services. Skills and attributes for success Fostering relationships with client personnel at appropriate levels and consistently delivering quality client services. Monitoring progress, managing risk and keeping key stakeholders 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/coaching. Fostering an innovative and inclusive team‑oriented work environment and mentoring junior consultants. Supporting Data Management Strategy execution 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 Machine Learning and Gen AI technologies. Leading 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 implementation of the FDL Blueprint solution offering, ensuring scalability, performance and security. Collaborating with data scientists and finance SMRs 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 innovative solutions that drive efficiency, accuracy and insights for finance applications. Qualifications Minimum 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 applications including financial modelling (PnL, Balance Sheet, Cash Flow). Proficiency in data integration, data transformation and data modelling 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, data modelling and ML. What we offer Competitive compensation and benefits package with range $142,600 – $261,500 (US) and $171,200 – $297,200 for select metro areas. Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Hybrid work model with flexible in‑person collaboration 40–60% of the time. Equal Employment Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or 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. #J-18808-Ljbffr Broughton Group