AI Finance - Senior Manager - Tech Consulting

AI Finance Senior Manager – Tech Consulting – Location Open

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, 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‑Seam.

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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 deep expertise in finance applications (planning, reporting, close/consolidation) along with skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas.

A key responsibility involves developing and implementing our “FDL consulting blueprint” service offering, creating an industry‑agnostic data model to ensure data consistency and interoperability across finance applications. The role works closely with the Data Lead and the Product Owner to design the FDL Blueprint on a foundation of accurate, consistent, and reliable finance application data architecture for 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 focus on quality and risk management.

• Proven ability to manage and deliver complex solutions.
• Foster relationships with client personnel at appropriate levels, consistently delivering high‑quality client services within expected time frames and on budget.
• Monitor progress, manage risk, and keep stakeholders informed about outcomes.
• Manage expectations of client service delivery.
• Effectively manage and motivate diverse client engagement teams, providing constructive on‑the‑job feedback and coaching.
• Foster an innovative, inclusive team‑oriented work environment and mentor junior consultants.
• Support Data Management Strategy execution, including finance application data strategy.
• Define data requirements, architecture, and models for finance applications, leveraging Machine Learning and Generative AI.
• Lead the design and implementation of an extensible common information model for the FDL Blueprint.
• Develop and maintain documentation: data dictionaries, ER diagrams, lineage maps.
• Ensure scalability, performance, and security of the FDL Blueprint solution offering.
• Collaborate with data scientists and finance SMR’s across service lines to apply Machine Learning and Gen AI techniques to finance applications/personas.
• Support robust data governance framework for the FDL.
• Stay current with latest ML, Gen AI, data management, and Azure technology advancements to drive efficiency and insights.
• Travel as required for client engagements and project needs.

• Bachelor’s degree in Finance, Accounting, Business, or Computer Science.
• Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A) with expertise in:
  • Strategic financial planning, budgeting, and forecasting
  • Financial modeling and scenario…