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. This role supports the Finance Applications Data Lead in executing the overall data management strategy for finance applications. You’ll leverage deep expertise in finance applications (planning, reporting, close/consolidation) and 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 of the key responsibilities is developing and implementing the EY AI Finance service offering, creating an industry-agnostic data model to ensure data consistency and interoperability across finance applications. You’ll 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.

Responsibilities

• Engage with business stakeholders to evaluate business models, processes, and operations, gathering and analyzing business requirements and translating 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.
• Support the execution of the overall data management strategy for finance applications, working with cross-service line teams (Finance, Managed Services, Tech Consulting) to ensure alignment and integration of finance application data.
• Define data requirements, data architecture, and data models for finance applications, leveraging 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 stakeholders to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications.
• Support the establishment and maintenance of a robust data governance framework for the FDL.
• Stay current with advancements in Machine Learning, Gen AI, Data Management, and Azure technologies, implementing innovative solutions to drive efficiency and insights for finance applications.
• Foster relationships with client personnel, delivering high-quality client services within expected time frames and budgets.
• Monitor progress, manage risk, and keep key stakeholders informed about progress and expected outcomes.
• Manage expectations of client service delivery and motivate diverse client engagement teams.
• Provide constructive on-the-job feedback and coaching to team members.
• Play an active role in counseling and mentoring junior consultants.
• Regular travel may be required to meet with clients and participate in project activities.

Requirements

• A bachelor’s degree and approximately three years of related work experience; or a graduate degree 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 of emerging technologies.

Qualifications

Ideally, you’ll also have a degree in Finance, Computer Science, Information Systems, or a related field with relevant experience in finance data management, including data modeling and Machine Learning.

Skills

• Fostering relationships with client personnel at appropriate levels.
• Consistently delivering quality client services.
• Driving high-quality work products within expected time frames and budgets.
• Monitoring progress and managing risk while keeping stakeholders informed.
• Managing client service delivery expectations.
• Leading and motivating diverse client engagement teams.
• Providing constructive on-the-job feedback and coaching.
• Fostering an innovative and inclusive team-oriented work environment.

What We Look For

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

• Comprehensive compensation and benefits package, with rewards based on performance and recognition for the value you bring to the business.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Flexible vacation policy, allowing you to decide how much vacation time you need based on personal circumstances.
• Designated EY Paid Holidays, Winter/Summer breaks, and Personal/Family Care leave to support your 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 are determined by factors including education, experience, knowledge, skills, and geography.

Schedule

Join us in our team-led and leader-enabled hybrid model. Most people in external, client-serving roles are expected to work together in person 40-60% of the time over the course of an engagement, project, or year.