Tech Consulting - FinTech - AI Finance - Senior

Location: Anywhere in Country

About the role

At EY, we’re shaping your future with confidence by helping you succeed in a globally connected powerhouse of diverse teams. Join EY and help build a better working world. The Al Finance Senior is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. You will leverage deep expertise in finance applications (planning, reporting, close/consolidation) coupled with skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas.

One key responsibility is developing and implementing the EY AI Finance service offering, creating an industry-agnostic data model that ensures data consistency and interoperability across finance applications. You will work closely with the Data Lead and Product Owner to design the EY AI Finance Blueprint on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making.

In this role, you will interact with business stakeholders to evaluate business models, processes, and operations, gathering and analyzing requirements and translating them into technical specifications. Regular travel may be required to meet with clients and participate in project activities.

Responsibilities

• 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.
• 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.
• Lead the development and implementation of the FDL Blueprint solution offering, ensuring scalability, performance, and security.
• Collaborate with data scientists and finance SMEs across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL.
• 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, identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications.
• Foster relationships with client personnel at appropriate levels.
• Consistently deliver high-quality client services within expected time frames and on budget.
• Monitor progress, manage risk, and keep key stakeholders informed about progress and expected outcomes.
• Manage expectations of client service delivery.
• Effectively manage and motivate client engagement teams with diverse skills and backgrounds.
• Provide constructive on-the-job feedback and coaching to team members.
• Foster an innovative and inclusive team-oriented work environment.
• Play an active role in counseling and mentoring junior consultants within the organization.

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, or 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

• Degree in Finance, Computer Science, Information Systems, or a related field with relevant experience in finance data management, including data modeling and ML.

Skills

We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the analytics industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

Benefits

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment and fuel your extraordinary talents in a diverse and inclusive culture of globally connected teams.

• Comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
• Medical and dental coverage, pension, and 401(k) plans.
• Wide range of paid time off options, including flexible vacation policy, designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence to support your physical, financial, and emotional well-being.

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

Join us in our team-led and leader-enabled hybrid model. 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.