AI Finance - Senior - Tech Consulting - Location Open

About the role

The AI Finance Senior role supports the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The role involves leveraging deep expertise in finance applications, data management, machine learning, and generative AI 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 for the EY AI Finance solution to ensure the blueprint is designed on a solid foundation of finance application data architecture.
• Interact with business stakeholders to evaluate business models, processes, and operations, gathering and analyzing business requirements.
• Translate business requirements into technical specifications and provide in-depth analysis related to implementation, customization, and optimization of technology platforms.
• Engage with clients to understand their needs, 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 AI 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 and 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 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.
• Developing and implementing our FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Collaborating with data scientists and finance SMEs across service lines to identify opportunities for applying machine learning and generative 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, generative AI, data management, and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.

Benefits

At EY, we offer a comprehensive compensation and benefits package, including a base salary range of $102,500 to $187,900 in all geographic locations in the US, and $122,900 to $213,400 in the New York City Metro Area, Washington State, and California (excluding Sacramento). Individual salaries are determined based on a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. We also provide a wide range of paid time off options, including vacation time, EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your well-being.

Pay

The base salary range for this role in all geographic locations in the US is $102,500 to $187,900. The base salary range for New York City Metro Area, Washington State, and California (excluding Sacramento) is $122,900 to $213,400.

Schedule

Our expectation is for most people in external, client-serving roles to work together in person 40-60% of the time over the course of an engagement, project, or year. We also offer a flexible vacation policy where you'll decide how much vacation time you need based on your personal circumstances.