Tech Consulting - AI Finance - Senior -Location Open

EY; Woodbridge Township (NJ); On-site; USD 103,000 - 188,000; Full time

Job summary

EY is seeking a senior finance data professional to help execute the data management strategy for finance applications. You will leverage finance application data modeling, governance and ML/Gen AI to enable accurate decision making and interoperability across platforms.

You’ll work with cross‑functional teams to design an extensible information model, develop the EY Al Finance blueprint, and maintain data dictionaries and lineage maps while staying current with Azure technologies and industry

Qualifications

• Bachelor's degree with 2+ years of related work experience in data management.
• Minimum 2 years in data management with finance data modeling experience.
• Strong knowledge of data governance, data quality and master data management.
• Experience with ML techniques, Gen AI technologies, and Azure data services.

Responsibilities

• Support data management strategy for finance applications and data models.
• Collaborate with Finance, Managed Services and Tech teams for integration.
• Define data requirements, architecture and models for finance apps.

Skills

Data governance

Data quality

Master data

Machine Learning

Gen AI

Azure Data Services

Finance data models

Data modeling

Python

SQL

Education

Bachelor's degree or higher

Tools

Azure Data Lake

Azure Synapse Analytics

MS SQL

Python

Job description

Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Cincinnati, Cleveland, Dallas, Denver, Des Moines, Detroit, Fort Worth, Grand Rapids, Grandview Heights, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Metropark, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, New York, Oklahoma City, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, St Louis, Stamford, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington, Westlake Village

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. 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.

The Opportunity

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. The successful candidate will leverage their deep expertise finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative Al (Gen Al) to support key finance personas. One of the key responsibilities will focus on developing and implementing our EY Al Finance service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the EY Al Finance solution to ensure that the EY Al Finance Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision‑making.

Your Key Responsibilities

In this role, you will interact with business stakeholders to evaluate business models, processes, and operations. You will gather, understand, and analyze business requirements, translating them into technical specifications. Your expertise in specific technology platforms will be crucial in 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.

Skills And Attributes For Success

• Fostering relationships with client personnel at appropriate levels.
• Consistently running and delivering quality client services.
• Driving high-quality work products within expected time frames and on budget.
• Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• Effectively managing and motivating client engagement teams with diverse skills and backgrounds.
• Providing constructive on- the- job feedback/coaching to team members.
• Fostering an innovative and inclusive team-oriented work environment.
• Playing an active role in the counselling and mentoring of junior consultants within the organization.
• Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications
• 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 Al 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 Al 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 Al, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications

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 Al 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

Ideally, you'll also have

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

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.

What We Offer You

At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.

• The salary range for this job is:
  • New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $122,900 to $204,900
  • Bay Area California offices – $128,100 to $213,400
  • All other offices locations in the US, including Sacramento – $102,500 to $187,900
• Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at [e-mail].