AI Finance - Manager - Tech Consulting

AI Finance - Manager - Tech Consulting - Location Open

Join to apply for the AI Finance - Manager - Tech Consulting - Location Open role at EY

Location:

Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, 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 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

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 to build a better working world.

The AI Finance Manager supports the Finance Applications Data Lead in executing the overall data management strategy for finance applications. Leveraging expertise in finance applications, enterprise data management, data governance, data quality, master's data management, machine learning, and generative AI, the role develops and implements EY's AI Finance service offering and creates an industry‑agnostic data model that ensures data consistency and interoperability across finance applications.

• Work closely with finance, IT, and data science teams to manage and utilize finance application data, harnessing machine learning, Gen AI, and Azure data technologies.
• Lead 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 through innovative research and analysis.
• Interact with business stakeholders to evaluate models, processes, and operations, translating requirements into technical specifications.

• Strong client relationship building and delivery of quality services.
• Effective risk monitoring and stakeholder communication.
• Team leadership and coaching ability.
• Support for data management strategy execution and governance.
• Collaboration across service lines to align finance application data with related initiatives.
• Definition and implementation of data requirements, architecture, and models.
• Documentation of data dictionaries, entity‑relationship diagrams, and data lineage maps.
• Maintenance of a robust data governance framework.
• Continuous learning of advancements in machine learning, AI, and Azure technologies.

• A bachelor’s degree and ~5 years of related work experience; or a graduate degree with ~4 years of related experience.
• Minimum 4 years of data management experience, including at least 1 year focused on finance application data, data modeling, and financial modeling.
• Strong understanding of data governance, quality, and master data management principles.
• 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 and financial modeling (PnL, balance sheet, cash flow).
• Proficiency in data integration, transformation, and modeling tools.
• Excellent communication, collaboration, and problem‑solving skills.
• Ability to work effectively in a fast‑paced, dynamic environment.

• Degree in Finance, Computer Science, Information Systems or related field with experience in finance data management, modeling, and ML.

We seek passionate leaders with a strong vision, a desire to stay ahead of analytics trends, and a genuine passion for helping businesses realize data potential.

• Comprehensive…