AI Finance - Senior Manager - Tech Consulting

AI Finance - Senior Manager - Tech Consulting - Location Open

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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) combined with 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, creating an industry‑agnostic data model that can be used as a starting point and extended to ensure 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.
• Support effective management and utilization of finance application data, harnessing Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value.
• Lead engagement delivery and manage client relationships, driving high‑quality client services within budget and time constraints.
• Collaborate with data scientists and finance stakeholders to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications and personas.
• Develop and maintain documentation, including data dictionaries, entity‑relationship diagrams, and data lineage maps.
• Support the establishment and maintenance of a robust data governance framework for the FDL and oversee the scalability, performance, and security of the FDL Blueprint solution offering.
• Stay current with the latest advancements in Machine Learning, Gen AI, Data Management, and Azure technologies, identifying and implementing innovative solutions.
• Travel as required for client engagements and project needs.

• Proven ability to manage and deliver complex solutions.
• Build and sustain relationships with clients at appropriate levels; consistently deliver high‑quality client services and timely outcomes.
• Monitor progress, manage risk, and keep stakeholders informed.
• Manage client service delivery expectations and motivate diverse engagement teams.
• Provide on‑the‑job coaching and constructive feedback.
• Foster an innovative, inclusive, and collaborative team environment; mentor junior consultants.
• Support execution of the Finance Data Management strategy and define data requirements, architecture, and models for finance applications.
• Lead design and implementation of an extensible common information model for the FDL Blueprint.
• Maintain comprehensive documentation and maintain data governance frameworks.

• Bachelor’s degree in Finance, Accounting, Business, or Computer Science.
• Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:
• Strategic financial planning, budgeting, and forecasting processes
• Financial modeling and scenario analysis
• Variance analysis and management reporting
• Cross‑functional collaboration with business stakeholders
• Strong proficiency with EPM platforms, including hands‑on experience with:
• Anaplan (Certified Model Builder preferred)
• Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS)
• Oracle Hyperion
• One Stream, Tagetik, or similar platforms
• Solid understanding of financial data architecture and governance, including:
• Financial data modeling and dimensional design
• Chart of accounts structuring and hierarchy management
• Data quality standards and…