AI Finance - Senior - Tech Consulting - Location Open

About the role

EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service — providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations.

Responsibilities

• Support the Finance Applications Data Lead in executing the overall data management strategy for finance applications.
• Leverage deep expertise in finance applications (planning, reporting, close/consolidation), enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas.
• 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.
• Engage with business stakeholders to evaluate business models, processes, and operations; gather, understand, and analyze business requirements; and translate them into technical specifications.
• Collaborate with technical teams to design and deliver system architecture solutions, tailoring technology platforms to align with business processes and objectives.

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

• Foster relationships with client personnel at appropriate levels.
• Monitor progress, manage risk, and keep key stakeholders informed about progress and expected outcomes.
• Manage expectations of client service delivery.
• Manage and motivate client engagement teams with diverse skills and backgrounds.
• Provide constructive on-the-job feedback/coaching to team members.
• Stay current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identify and implement 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

We offer a flexible vacation policy where you decide how much vacation time you need based on your personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.