AI Finance - Senior Manager - Tech Consulting

AI Finance – Senior Manager – Tech Consulting – Location Open

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Locations:
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 Orleans, 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.

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. This role requires deep expertise in finance applications (planning, reporting, close/consolidation) and advanced skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI). The successful candidate will develop and implement the “FDL consulting blueprint” service offering, creating an industry‑agnostic data model that ensures data consistency and interoperability across finance applications.

• 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.
• Serve as Senior Manager, leading engagement delivery and managing client relationships.
• 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.
• Collaborate with data scientists and finance SMRs across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications or personas.
• Support the establishment and maintenance of a robust data governance framework for the FDL.
• Stay current with the latest advancements in Machine Learning, Gen AI, Data Management, and Azure technologies, implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.
• Travel as required for client engagements and project needs.

• Proven ability to manage and deliver complex solutions.
• Experience fostering relationships with client personnel at appropriate levels.
• Strong risk management and stakeholder communication skills.
• Effective team leadership, coaching, and mentoring of junior consultants.
• Support for Data Management Strategy Execution and data architecture definition for finance applications.
• Ability to define data requirements, models, and governance for finance applications, integrating Machine Learning and Gen AI technologies.
• Strong organizational and project management skills with a focus on quality, performance, and security.
• Adaptability to emerging technologies in a fast‑paced, dynamic environment.
• Willingness to travel as part of client engagements.

• Bachelor’s degree in Finance, Accounting, Business, Computer Science, MIS, or IT.
• Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A) with demonstrated expertise in strategic financial planning, budgeting, forecasting, financial…