EY
AI Finance - Manager - Tech Consulting - Location Open
EY, Providence, Rhode Island, us, 02912
AI Finance Manager – Tech Consulting
Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, 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.
The opportunity The AI Finance Manager 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 deep expertise in finance applications (planning, reporting, close/consolidation) coupled with advanced skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas.
Your Key Responsibilities
Lead the delivery of complex technical initiatives, ensuring accountability for performance and results.
Collaborate with technical teams to design and deliver system architecture solutions.
Drive continuous process improvement by identifying innovative solutions through research and analysis.
Support the effective management and utilization of finance application data, harnessing Machine Learning, Gen AI, and Azure data technologies.
Lead workstream delivery, ensuring processes and solutions are managed effectively while maintaining a focus on quality and risk management.
Engage with clients daily, participate in planning and execution, and identify opportunities for additional services.
Skills And Attributes For Success
Fostering relationships with client personnel at appropriate levels and consistently delivering quality client services.
Monitoring progress, managing risk, and confirming that key stakeholders are kept informed.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds.
Fostering an innovative and inclusive team‑oriented work environment.
Supporting Data Management Strategy Execution for finance applications.
Collaborating with cross‑service line teams to ensure alignment and integration of finance application data.
Defining data requirements, architecture, and models for finance applications considering Machine Learning and Gen AI.
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 apply Machine Learning and Gen AI techniques to finance applications/personas.
Supporting the establishment and maintenance of a robust data governance framework for the FDL.
Staying current with the latest advancements in Machine Learning, Gen AI, Data Management, and Azure technologies.
To qualify for the role you must have
A bachelor’s degree and approximately five years of related work experience; or a graduate degree and approximately four years of related work experience.
Minimum of 4 years of experience in data management, with at least 1 year focused on finance application data, data modeling, and 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, transformation, and 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 finance data management, data modeling, and ML.
What We Offer You
A comprehensive compensation and benefits package with performance‑based rewards and industry‑competitive base salaries ranging from $142,600 to $261,500 across U.S. locations.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
A flexible hybrid work model and support for personal and professional well‑being through structured vacation policies.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
EY focuses on high‑ethical standards and integrity. All candidates are expected to demonstrate these qualities.
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. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans. If you have a disability and need assistance applying online or requesting accommodation, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then Option 1 for candidate queries, and finally Option 2 for candidates with an inquiry that will route you to EY’s Talent Shared Services Team (TSS) or email ssc.customersupport@ey.com.
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The opportunity The AI Finance Manager 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 deep expertise in finance applications (planning, reporting, close/consolidation) coupled with advanced skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas.
Your Key Responsibilities
Lead the delivery of complex technical initiatives, ensuring accountability for performance and results.
Collaborate with technical teams to design and deliver system architecture solutions.
Drive continuous process improvement by identifying innovative solutions through research and analysis.
Support the effective management and utilization of finance application data, harnessing Machine Learning, Gen AI, and Azure data technologies.
Lead workstream delivery, ensuring processes and solutions are managed effectively while maintaining a focus on quality and risk management.
Engage with clients daily, participate in planning and execution, and identify opportunities for additional services.
Skills And Attributes For Success
Fostering relationships with client personnel at appropriate levels and consistently delivering quality client services.
Monitoring progress, managing risk, and confirming that key stakeholders are kept informed.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds.
Fostering an innovative and inclusive team‑oriented work environment.
Supporting Data Management Strategy Execution for finance applications.
Collaborating with cross‑service line teams to ensure alignment and integration of finance application data.
Defining data requirements, architecture, and models for finance applications considering Machine Learning and Gen AI.
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 apply Machine Learning and Gen AI techniques to finance applications/personas.
Supporting the establishment and maintenance of a robust data governance framework for the FDL.
Staying current with the latest advancements in Machine Learning, Gen AI, Data Management, and Azure technologies.
To qualify for the role you must have
A bachelor’s degree and approximately five years of related work experience; or a graduate degree and approximately four years of related work experience.
Minimum of 4 years of experience in data management, with at least 1 year focused on finance application data, data modeling, and 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, transformation, and 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 finance data management, data modeling, and ML.
What We Offer You
A comprehensive compensation and benefits package with performance‑based rewards and industry‑competitive base salaries ranging from $142,600 to $261,500 across U.S. locations.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
A flexible hybrid work model and support for personal and professional well‑being through structured vacation policies.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
EY focuses on high‑ethical standards and integrity. All candidates are expected to demonstrate these qualities.
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. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans. If you have a disability and need assistance applying online or requesting accommodation, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then Option 1 for candidate queries, and finally Option 2 for candidates with an inquiry that will route you to EY’s Talent Shared Services Team (TSS) or email ssc.customersupport@ey.com.
#J-18808-Ljbffr