AI Finance - Senior Manager - Tech Consulting

AI Finance - Senior Manager - Tech Consulting - Location Open

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The Opportunity

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

A key responsibility is developing and implementing our “FDL consulting blueprint” service offering, creating an industry‑agnostic data model to ensure data consistency and interoperability across finance applications.

Your

Key Responsibilities

• 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 a focus on quality and risk management.

Skills and Attributes for Success

• Proven ability to manage and deliver complex solutions.

• Fostering relationships with client personnel at appropriate levels, consistently delivering high‑quality client services, and 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 managing and motivating client engagement teams with diverse skills and backgrounds, providing constructive on‑the‑job feedback/coaching to team members.

• Fostering an innovative and inclusive team‑oriented work environment, playing an active role in the counselling and mentoring of junior consultants within the organization.

• Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications.

• Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies.

• Leading the design and implementation of an extensible common information model for the FDL Blueprint.

• Developing and maintaining documentation, including data dictionaries, entity‑relationship diagrams, and data lineage maps.

• Leading the development and implementation of the FDL Blueprint solution offering, ensuring scalability, performance, and security.

• Collaborating with data scientists and finance SMR’s across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL.

• Supporting the establishment and maintenance of a robust data governance framework for the FDL.

• Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.

• Ability to travel as required for client engagements and project needs.

To Qualify for the Role

• 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 (Enterprise Performance Management) platforms, including hands‑on experience with…