AI Finance - Senior - Tech Consulting - Location Open

About the role

The AI Finance Senior 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 in finance applications, enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas.

Responsibilities

• Develop and implement the EY 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 foundation of accurate, consistent, and reliable finance application data architecture.
• Interact with business stakeholders to evaluate business models, processes, and operations, gathering and analyzing business requirements and translating them into technical specifications.
• Provide in-depth analysis related to implementation, customization, and optimization of technology platforms tailored to align with business processes and objectives.
• Engage with clients to gather and analyze business requirements, collaborate with technical teams to design and deliver system architecture solutions, and lead the development and implementation of the EY AI Finance solution offering.

Requirements

• 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.
• 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

• Passionate leader with strong vision and a desire to stay on top of trends in the analytics industry.
• Passionate about helping businesses achieve the full potential of their data.

Skills

• Fostering relationships with client personnel at appropriate levels.
• Monitoring progress, managing risk, and keeping key stakeholders informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• Effectively managing and motivating client engagement teams with diverse skills and backgrounds.
• Fostering an innovative and inclusive team-oriented work environment.
• Supporting Data Management Strategy Execution.
• 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.

Benefits

To qualify for the role, you must have:

• 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.
• 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.

Pay

The base salary range for this job 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.