AI Finance - Senior Manager - Tech Consulting

AI Finance - Senior Manager - Tech Consulting - Location Open

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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

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The AI Finance Senior 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 “FDL consulting blueprint” 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 candidate will work closely with the Data Lead and Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision‑making.

• Leading the design and delivery of system architecture solutions in collaboration with technical teams.
• Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
• Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.
• 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.
• 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.
• 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.
• Ability to travel as required for client engagements and project needs.

• Proven ability to manage and deliver complex solutions.
• Fostering relationships with client personnel at appropriate levels, consistently delivering quality client services and high‑quality work products within timelines and budgets.
• Monitoring progress, managing risk, and keeping stakeholders informed.
• 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.
• Fostering an innovative and inclusive team‑oriented work environment; mentoring junior consultants.
• Supporting Data Management Strategy Execution, including…