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 successful candidate will work closely with the Data Lead and the 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.

• Lead the design and delivery of system architecture solutions in collaboration with technical teams.
• Tailor technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
• Manage complex processes, solutions, and projects while maintaining a focus on quality and risk management.

• Proven ability to manage and deliver complex solutions.
• Foster relationships with client personnel at appropriate levels. Consistently run and deliver quality client services. Drive high‑quality work products within expected time frames and on budget.
• Monitor progress, manage risk and confirm that key stakeholders are kept informed about progress and expected outcomes.
• Manage expectations of client service delivery.
• Effectively manage and motivate client engagement teams with diverse skills and backgrounds. Provide constructive on‑the‑job feedback/coaching to team members.
• Foster an innovative and inclusive team‑oriented work environment. Play an active role in the counseling and mentoring of junior consultants within the organization.
• Support Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications.
• Define data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies.
• Lead the design and implementation of an extensible common information model for the FDL Blueprint.
• Develop and maintain documentation, including data dictionaries, entity‑relationship diagrams, and data lineage maps.
• Lead the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Collaborate with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine…