AI Finance - Manager - Tech Consulting - Location Open

About the role

The AI Finance Manager supports the Finance Applications Data Lead in executing the overall data management strategy for finance applications. Key responsibilities include developing and implementing the EY AI Finance service offering, focusing on creating an industry-agnostic data model for finance applications.

Responsibilities

• Supports the effective management and utilization of finance application data.
• Leverages expertise in finance applications, data management, machine learning, and generative AI to support key finance personas.
• Collaborates with finance, IT, and data science teams to ensure the development and implementation of the EY AI Finance solution offering.
• Works with business stakeholders to evaluate business models, processes, and operations.
• Gathers, understands, and analyzes business requirements, translating them into technical specifications.
• Provides in-depth analysis related to the implementation, customization, and optimization of specific technology platforms.

Requirements

• A bachelor's degree and approximately five years of related work experience; or a graduate degree in the same and approximately four years of related work experience.
• Minimum of 4 years of experience in data management, with at least 1 year focused on finance application data, data modeling, financial modeling.
• Strong understanding of data management principles, including data governance, data quality, and master data management.
• Experience with Machine Learning techniques, gen AI technologies, and Azure data services (e.g., Azure Data Lake, Azure Synapse Analytics, MS SQL, Python).
• Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow).
• Proficiency in data integration, data transformation, and data modeling tools and techniques.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies.

Qualifications

• Passionate about helping businesses achieve the full potential of their data.
• Desire to stay on top of trends in the analytics industry.
• Ability to foster relationships with client personnel at appropriate levels.
• Experience in fostering an innovative and inclusive team-oriented work environment.
• Ability to manage and motivate client engagement teams with diverse skills and backgrounds.
• Experience in leading the delivery of complex technical initiatives, ensuring accountability for performance and results.
• Experience in collaborating with cross-service line teams, including Finance, Managed Services, and Tech Consulting to ensure alignment and integration of finance application data with related data initiatives.
• Experience in defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies.
• Experience in leading the design and implementation of an extensible common information model for the FDL Blueprint.
• Experience in developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps.
• Experience in leading the development and implementation of the FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Experience in 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.
• Experience in supporting the establishment and maintenance of a robust data governance framework for the FDL.
• Experience in 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.

Skills and attributes for success

• Fostering relationships with client personnel at appropriate levels.
• Consistently running and delivering quality client services.
• Making sure that key stakeholders are kept 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.
• Collaborating with cross-service line teams, including Finance, Managed Services, and Tech Consulting to ensure alignment and integration of finance application data with related data initiatives.
• 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 our 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.
• Sustaining 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.