EY
AI Finance - Senior - Tech Consulting
2 weeks ago Be among the first 25 applicants
Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, Lake, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake Village, Winston-Salem
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.
AI Finance, Senior, Tech Consulting
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 AI 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 in 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 AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our EY AI Finance service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended to 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 AI Finance solution to ensure that the EY AI Finance Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision‑making.
Your Key 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.
Work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value.
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 our FDL Blueprint solution offering, ensuring scalability, performance, and security.
Collaborate with data scientists and finance SMR’s 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 and identify and implement innovative solutions that drive efficiency, accuracy, and insights for finance applications.
Skills and attributes for success
Fostering relationships with client personnel and consistently delivering quality client services.
Monitoring progress, managing risk, and ensuring stakeholders are kept informed.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams.
Fostering an innovative and inclusive team‑oriented work environment.
Supporting Data Management Strategy Execution for finance applications.
Collaborating with cross‑service line teams.
Defining data requirements, architecture, and models.
Leading design and implementation of an extensible common information model.
Developing and maintaining documentation.
Leading development and implementation of the FDL Blueprint solution.
Collaborating with data scientists.
Supporting data governance.
Staying current with latest technologies.
To qualify for the role you must have
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, including at least 1 year focused on finance application data, data modeling, financial modeling.
Strong understanding of data management principles, including governance, 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, transformation, and modeling tools and techniques.
Excellent communication, collaboration, and problem‑solving skills.
Ability to work effectively in a fast‑paced, dynamic environment.
Ideally, you’ll also have
Degree in Finance, Computer Science, Information Systems or a related field with relevant experience in finance data management, including 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’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
Benefits
Competitive total compensation and benefits package.
Base salary range $102,500 to $187,900 (varies by location).
Pension and 401(k) plans, medical and dental coverage, and paid time off.
Hybrid work model: 40-60% in‑person.
Flexible vacation policy.
EEO Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
Application Information Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
#J-18808-Ljbffr
Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, Lake, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake Village, Winston-Salem
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.
AI Finance, Senior, Tech Consulting
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 AI 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 in 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 AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our EY AI Finance service offering, with the goal of creating an industry agnostic data model which can be utilized as a starting point and be extended to 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 AI Finance solution to ensure that the EY AI Finance Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision‑making.
Your Key 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.
Work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value.
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 our FDL Blueprint solution offering, ensuring scalability, performance, and security.
Collaborate with data scientists and finance SMR’s 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 and identify and implement innovative solutions that drive efficiency, accuracy, and insights for finance applications.
Skills and attributes for success
Fostering relationships with client personnel and consistently delivering quality client services.
Monitoring progress, managing risk, and ensuring stakeholders are kept informed.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams.
Fostering an innovative and inclusive team‑oriented work environment.
Supporting Data Management Strategy Execution for finance applications.
Collaborating with cross‑service line teams.
Defining data requirements, architecture, and models.
Leading design and implementation of an extensible common information model.
Developing and maintaining documentation.
Leading development and implementation of the FDL Blueprint solution.
Collaborating with data scientists.
Supporting data governance.
Staying current with latest technologies.
To qualify for the role you must have
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, including at least 1 year focused on finance application data, data modeling, financial modeling.
Strong understanding of data management principles, including governance, 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, transformation, and modeling tools and techniques.
Excellent communication, collaboration, and problem‑solving skills.
Ability to work effectively in a fast‑paced, dynamic environment.
Ideally, you’ll also have
Degree in Finance, Computer Science, Information Systems or a related field with relevant experience in finance data management, including 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’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
Benefits
Competitive total compensation and benefits package.
Base salary range $102,500 to $187,900 (varies by location).
Pension and 401(k) plans, medical and dental coverage, and paid time off.
Hybrid work model: 40-60% in‑person.
Flexible vacation policy.
EEO Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
Application Information Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an ongoing basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
#J-18808-Ljbffr