AI Finance - Senior - Tech Consulting - Location Open

About the role

The AI Finance Senior plays a crucial role in supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. This role leverages deep expertise in finance applications, data management, and machine learning to support key finance personas.

Responsibilities

• Develop and implement EY's AI Finance service offering, focusing on creating an industry-agnostic data model for finance applications.
• Work closely with the Data Lead and Product Owner to design and deliver the EY AI Finance Blueprint, ensuring data consistency and interoperability across finance applications.
• Interact with business stakeholders to evaluate business models, processes, and operations, gathering and analyzing business requirements to translate them into technical specifications.
• Provide in-depth analysis related to implementation, customization, and optimization of technology platforms, particularly in the context of finance applications.
• Engage with business stakeholders to gather and analyze business requirements, collaborate with technical teams to design and deliver system architecture solutions, and tailor technology platforms to align with business processes and objectives.

Requirements

• A bachelor's degree or graduate degree in finance, computer science, information systems, or a related field with relevant experience in finance data management, including data modeling and machine learning.
• Minimum of 2 years of experience in data management, with at least 1 year focused on finance application data, data modeling, and financial modeling.
• Strong understanding of data management principles, including data governance, data quality, and master data management.
• Experience with machine learning techniques, generative artificial intelligence technologies, and Azure data services such as Azure Data Lake, Azure Synapse Analytics, MS SQL, and Python.
• Knowledge of finance applications, including financial modeling (P&L, Balance Sheet, Cash Flow).
• Proficiency in data integration, data transformation, and data modeling tools and techniques.
• Excellent communication, collaboration, and problem-solving skills.

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 work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies.

Skills and Attributes

• 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 keeping key stakeholders informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• 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 counseling 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 generative artificial intelligence 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.
• Developing and implementing our FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Supporting the establishment and maintenance of a robust data governance framework for the FDL.
• Staying current with the latest advancements in machine learning, generative artificial intelligence, data management, and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.

Pay

$102,500 to $187,900 base salary range for all geographic locations in the US.

Schedule

Hybrid model with most people in external, client-serving roles working together in person 40-60% of the time over the course of an engagement, project, or year.