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. They leverage 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, understanding, 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

• A bachelor's degree and approximately three years of related work experience; or a graduate degree in the same with 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 about helping businesses achieve the full potential of their data.
• Desire to stay on top of trends in the analytics industry.
• Relevant experience in finance data management including data modeling and ML.

Skills

• Foster relationships with client personnel at appropriate levels.
• Drive high-quality work products within expected time frames and on budget.
• Manage progress, monitor risk, and keep stakeholders informed about progress and expected outcomes.
• Manage expectations of client service delivery.
• Provide constructive on-the-job feedback/coaching to team members.
• Foster an innovative and inclusive team-oriented work environment.
• Support data management strategy execution, including helping execute the overall data management strategy for finance applications.
• Collaborate 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.
• Define data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies.
• Lead the design and implementation of an extensible common information model for the FDL Blueprint.
• Develop and maintain documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps.
• Develop and implement our FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Support the establishment and maintenance of a robust data governance framework for the FDL.
• 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

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

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

Schedule

Flexible vacation policy allowing you to decide how much vacation time you need based on your personal circumstances. Additionally, you'll 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.