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 ensure the EY AI Finance 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, providing in-depth analysis related to implementation, customization, and optimization.
• Engage with business stakeholders to gather and analyze business requirements.
• Collaborate with technical teams to design and deliver system architecture solutions.
• Tailor technology platforms to align with business processes and objectives.

Requirements

Minimum of 2 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

A bachelor's degree and approximately three years of related work experience; or a graduate degree in the same and approximately two years of related work experience.

Desired qualifications include:

• Passionate about helping businesses achieve the full potential of their data.
• Relevant experience in finance data management including data modeling and ML.
• Degree in Finance, Computer Science, Information Systems or a related field.

Skills and Attributes

• Fostering relationships with client personnel at appropriate levels.
• Driving high-quality work products within expected time frames and on budget.
• Maintaining 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.
• 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.
• Sustaining 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 FDLS.
• 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.

Benefits

EY offers a comprehensive compensation and benefits package, including medical and dental coverage, pension, and 401(k) plans, and a wide range of paid time off options.

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. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

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. Employees are also granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support their physical, financial, and emotional well-being.