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, 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 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.

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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) coupled with skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas.

One of the key responsibilities is developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry‑agnostic data model that ensures consistency and interoperability across finance applications.

• 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 focus on quality and risk management.
• Leading engagement delivery and managing client relationships.
• Driving high‑quality work products within expected time frames and on budget.
• Monitoring progress, managing risk, and keeping stakeholders informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• Effectively motivating client engagement teams with diverse skills and providing constructive on‑the‑job feedback and coaching.
• Supporting the Data Management Strategy Execution, defining data requirements, architecture, and models for finance applications, and leading the design and implementation of an extensible common information model for the FDL Blueprint.
• Developing documentation such as data dictionaries, entity‑relationship diagrams, and data lineage maps.
• Collaborating with data scientists and finance SMRs across service lines to apply Machine Learning and Gen AI techniques to finance applications and personas.
• Maintaining a robust data governance framework for the FDL and staying current with advancements in ML, Gen AI, data management, and Azure technologies.
• Traveling as required for client engagements and project needs.

• Proven ability to manage and deliver complex solutions.
• Fostering relationships with client personnel at appropriate levels and delivering quality client services.
• Monitoring progress, managing risk, and communicating key stakeholders.
• Managing client service delivery expectations.
• Effectively managing and motivating diverse client engagement teams.
• Fostering an innovative and inclusive team‑oriented work environment.
• Mentoring junior consultants.
• Supporting Data Management Strategy Execution for finance applications.
• Defining data requirements, architecture, and models, incorporating ML and Gen AI.
• Leading design and implementation of the FDL Blueprint solution offering.
• Develop…