Ai Finance Manager

Description:

The AI Finance 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 their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep 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 EY AI Finance service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the EY AI Finance offering to ensure that the EY AI Finance Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.

In this role, you will interact with business stakeholders to evaluate business models, processes, and operations. You will gather, understand, and analyze business requirements, translating them into technical specifications. Your expertise in specific technology platforms will be crucial in providing in-depth analysis related to their implementation, customization, and optimization.

Your Key Responsibilities

The AI Finance Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.

As a Manager in Platform Business Analysis, you will play a pivotal role in the successful delivery of projects. You will lead workstream delivery, ensuring that processes and solutions are managed effectively while maintaining a focus on quality and risk management. This role offers you the opportunity to engage with clients daily, participate in planning and execution, and identify opportunities for additional services.

Lead the delivery of complex technical initiatives, ensuring accountability for performance and results.
Collaborate with technical teams to design and deliver system architecture solutions.
Drive continuous process improvement by identifying innovative solutions through research and analysis.

Skills And Attributes For Success

Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.
Monitoring progress, managing risk and confirming 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
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

To qualify for the role you must have

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