EY
AI Finance - Manager - Tech Consulting - Location Open
EY, Minneapolis, Minnesota, United States, 55400
AI Finance – Manager – Tech Consulting
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, 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.
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 build a better working world.
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 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 that can be utilized as a starting point and 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 offering 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.
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 their implementation, customization, and optimization.
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 the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
Lead workstream delivery, ensuring projects are executed with quality and risk management focus, engage 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; consistently delivering quality client services.
Driving high‑quality work products within expected time frames and on budget.
Monitoring progress, managing risk, and keeping stakeholders informed.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds; providing constructive, on‑the‑job feedback and coaching.
Fostering an innovative and inclusive team‑oriented work environment; mentoring junior consultants.
Supporting Data Management Strategy Execution for finance applications.
Collaborating with cross‑service line teams to align finance application data with related initiatives.
Defining data requirements, architecture, and models for finance applications, considering Machine Learning and Gen AI potential.
Leading the design and implementation of an extensible common information model for the FDL Blueprint.
Developing and maintaining documentation: data dictionaries, entity‑relationship diagrams, data lineage maps.
Collaborating with data scientists and finance SMRs across service lines to apply Machine Learning and Gen AI techniques.
Supporting the establishment and maintenance of a robust data governance framework for the FDL.
Staying current with advances in Machine Learning, Gen AI, Data Management and Azure technologies, implementing innovative solutions to drive efficiency, accuracy, insights.
Qualifications
Bachelor’s degree and approximately five years of related work experience; or graduate degree and approximately four years of related work experience.
Minimum of four years of experience in data management, with at least one year focused on finance application data, data modeling, and financial modeling.
Strong understanding of data management principles: data governance, data quality, 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 adoption and implementation of emerging technologies.
Ideally You’ll Also Have
Degree in Finance, Computer Science, Information Systems, or a related field with experience in 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
A comprehensive compensation and benefits package: base salary range in all U.S. locations $142,600 to $261,500; adjusted ranges for NYC, WA, and California (excluding Sacramento). Includes medical and dental coverage, pension and 401(k), and a wide range of paid time off.
A hybrid model: most external, client‑serving roles will work in person 40–60% of the time over the course of a project or year.
A flexible vacation policy: you’ll decide how much vacation time you need, along with EY paid holidays, winter/summer breaks, personal/family care, and other leaves.
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.
EY | Building a better working world
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 ssc.customersupport@ey.com.
EY | Building a better working world
#J-18808-Ljbffr
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 build a better working world.
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 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 that can be utilized as a starting point and 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 offering 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.
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 their implementation, customization, and optimization.
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 the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering.
Lead workstream delivery, ensuring projects are executed with quality and risk management focus, engage 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; consistently delivering quality client services.
Driving high‑quality work products within expected time frames and on budget.
Monitoring progress, managing risk, and keeping stakeholders informed.
Managing expectations of client service delivery.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds; providing constructive, on‑the‑job feedback and coaching.
Fostering an innovative and inclusive team‑oriented work environment; mentoring junior consultants.
Supporting Data Management Strategy Execution for finance applications.
Collaborating with cross‑service line teams to align finance application data with related initiatives.
Defining data requirements, architecture, and models for finance applications, considering Machine Learning and Gen AI potential.
Leading the design and implementation of an extensible common information model for the FDL Blueprint.
Developing and maintaining documentation: data dictionaries, entity‑relationship diagrams, data lineage maps.
Collaborating with data scientists and finance SMRs across service lines to apply Machine Learning and Gen AI techniques.
Supporting the establishment and maintenance of a robust data governance framework for the FDL.
Staying current with advances in Machine Learning, Gen AI, Data Management and Azure technologies, implementing innovative solutions to drive efficiency, accuracy, insights.
Qualifications
Bachelor’s degree and approximately five years of related work experience; or graduate degree and approximately four years of related work experience.
Minimum of four years of experience in data management, with at least one year focused on finance application data, data modeling, and financial modeling.
Strong understanding of data management principles: data governance, data quality, 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 adoption and implementation of emerging technologies.
Ideally You’ll Also Have
Degree in Finance, Computer Science, Information Systems, or a related field with experience in 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
A comprehensive compensation and benefits package: base salary range in all U.S. locations $142,600 to $261,500; adjusted ranges for NYC, WA, and California (excluding Sacramento). Includes medical and dental coverage, pension and 401(k), and a wide range of paid time off.
A hybrid model: most external, client‑serving roles will work in person 40–60% of the time over the course of a project or year.
A flexible vacation policy: you’ll decide how much vacation time you need, along with EY paid holidays, winter/summer breaks, personal/family care, and other leaves.
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.
EY | Building a better working world
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 ssc.customersupport@ey.com.
EY | Building a better working world
#J-18808-Ljbffr