EY
AI Finance - Manager - Tech Consulting - Location Open
EY, Dallas, Texas, United States, 75215
AI Finance - Manager - Tech Consulting
EY invites you to apply for the AI Finance Manager role in Tech Consulting.
Locations: 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.
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.
Overview 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 skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas.
Key Responsibilities
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.
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.
Lead the design and implementation of an extensible common information model for the FDL Blueprint.
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.
Skills and Attributes for Success
Fostering relationships with client personnel at appropriate levels.
Consistently delivering high‑quality client services within expected time frames and on budget.
Monitoring progress, managing risk, and keeping stakeholders informed.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds.
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, data architecture, and data models for finance applications, considering Machine Learning and Gen AI.
Leading development and implementation of the FDL Blueprint solution offering.
Building a robust data governance framework for the FDL.
Qualifications
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, 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 (financial modeling, PnL, Balance Sheet, Cash Flow).
Proficiency in data integration, 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 Will 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
A comprehensive compensation and benefits package, with base salary ranging from $142,600 to $261,500 across the US, and $171,200 to $297,200 for select metro areas.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
A flexible hybrid work model: most client‑serving roles work in person 40‑60% of the time.
A flexible vacation policy tailored to your personal circumstances.
How to Apply EY accepts applications for this position on an ongoing basis.
For applicants in California, additional information is available via the provided link.
EY provides equal employment opportunities and is committed to reasonable accommodation for qualified individuals with disabilities.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Finance and Sales
Industries Professional Services
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Locations: 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.
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.
Overview 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 skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas.
Key Responsibilities
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.
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.
Lead the design and implementation of an extensible common information model for the FDL Blueprint.
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.
Skills and Attributes for Success
Fostering relationships with client personnel at appropriate levels.
Consistently delivering high‑quality client services within expected time frames and on budget.
Monitoring progress, managing risk, and keeping stakeholders informed.
Effectively managing and motivating client engagement teams with diverse skills and backgrounds.
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, data architecture, and data models for finance applications, considering Machine Learning and Gen AI.
Leading development and implementation of the FDL Blueprint solution offering.
Building a robust data governance framework for the FDL.
Qualifications
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, 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 (financial modeling, PnL, Balance Sheet, Cash Flow).
Proficiency in data integration, 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 Will 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
A comprehensive compensation and benefits package, with base salary ranging from $142,600 to $261,500 across the US, and $171,200 to $297,200 for select metro areas.
Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
A flexible hybrid work model: most client‑serving roles work in person 40‑60% of the time.
A flexible vacation policy tailored to your personal circumstances.
How to Apply EY accepts applications for this position on an ongoing basis.
For applicants in California, additional information is available via the provided link.
EY provides equal employment opportunities and is committed to reasonable accommodation for qualified individuals with disabilities.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Finance and Sales
Industries Professional Services
#J-18808-Ljbffr