EY
AI Finance - Senior Manager - Tech Consulting - Location Open
EY, Boca Raton, Florida, us, 33481
AI Finance - Senior Manager - Tech Consulting - Location Open
Apply to join EY as a Senior Manager in AI Finance consulting across multiple US locations.
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.
Opportunity The AI Finance Senior 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) and skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas. A key responsibility will focus on developing and implementing the “FDL consulting blueprint” service offering, creating an industry‑agnostic data model that can be extended to ensure data consistency and interoperability across finance applications.
Key Responsibilities
Lead the design and delivery of system architecture solutions in collaboration with technical teams.
Tailor technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
Manage complex processes, solutions, and projects while maintaining a focus on quality, risk management, and client expectations.
Lead engagement delivery and manage client relationships, driving high‑quality work products on schedule and on budget.
Define data requirements, architecture, and models for finance applications, considering Machine Learning and Gen AI technologies.
Develop and maintain documentation, including data dictionaries, entity‑relationship diagrams, and data lineage maps.
Collaborate with data scientists and finance SMEs across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications.
Support the establishment and maintenance of a robust data governance framework for the FDL.
Stay current with advances in Machine Learning, Gen AI, Data Management, and Azure technologies, identifying innovative solutions to drive efficiency, accuracy, and insights for finance applications.
Provide constructive on‑the‑job feedback and coaching to team members, fostering an innovative and inclusive team environment.
Be willing to travel as required for client engagements and project needs.
Skills and Attributes for Success
Proven ability to manage and deliver complex solutions.
Strong client relationship building and communication skills.
Effective risk monitoring and stakeholder communication.
Experience leading and motivating diverse engagement teams.
Ability to foster an innovative, inclusive team‑oriented work environment.
Expertise in data management strategy execution for finance applications.
Strong analytical and problem‑solving skills with excellent oral and written communication.
Readiness to travel for client engagements.
Qualifications
Bachelor’s degree in Finance, Accounting, Business, Computer Science, or a related field.
Minimum seven years of progressive experience in Financial Planning & Analysis (FP&A), demonstrating expertise in strategic financial planning, budgeting, forecasting, financial modeling, scenario analysis, variance analysis, and reporting.
Strong proficiency with Enterprise Performance Management (EPM) platforms, including hands‑on experience with Anaplan, Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS), Oracle Hyperion, OneStream, Tagetik, or similar.
Solid understanding of financial data architecture and governance, including dimensional design, chart of accounts structuring, data quality standards, and master data management for finance applications.
Excellent communication, collaboration, and problem‑solving skills in a fast‑paced, dynamic environment.
Strong business acumen, relationship management, and commercial awareness.
Willingness to travel to meet client needs.
Ideal Qualifications
Advanced degree emphasis in Finance, Accounting, Economics, Computer Science, MIS, or IT.
Exceptional interpersonal skills facilitating team collaboration and client trust.
Proactive problem‑solving and decision‑making approach.
Experience leading diverse teams in dynamic environments.
What We Look For We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet evolving industry demands.
What We Offer You
Comprehensive compensation and benefits package with performance‑based rewards and wide range of paid time off options.
Flexible hybrid work model with in‑person collaboration 40–60% of the time.
Support for vacation time tailored to personal circumstances and access to EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leave options.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Finance and Sales; 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.
Opportunity The AI Finance Senior 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) and skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas. A key responsibility will focus on developing and implementing the “FDL consulting blueprint” service offering, creating an industry‑agnostic data model that can be extended to ensure data consistency and interoperability across finance applications.
Key Responsibilities
Lead the design and delivery of system architecture solutions in collaboration with technical teams.
Tailor technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
Manage complex processes, solutions, and projects while maintaining a focus on quality, risk management, and client expectations.
Lead engagement delivery and manage client relationships, driving high‑quality work products on schedule and on budget.
Define data requirements, architecture, and models for finance applications, considering Machine Learning and Gen AI technologies.
Develop and maintain documentation, including data dictionaries, entity‑relationship diagrams, and data lineage maps.
Collaborate with data scientists and finance SMEs across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications.
Support the establishment and maintenance of a robust data governance framework for the FDL.
Stay current with advances in Machine Learning, Gen AI, Data Management, and Azure technologies, identifying innovative solutions to drive efficiency, accuracy, and insights for finance applications.
Provide constructive on‑the‑job feedback and coaching to team members, fostering an innovative and inclusive team environment.
Be willing to travel as required for client engagements and project needs.
Skills and Attributes for Success
Proven ability to manage and deliver complex solutions.
Strong client relationship building and communication skills.
Effective risk monitoring and stakeholder communication.
Experience leading and motivating diverse engagement teams.
Ability to foster an innovative, inclusive team‑oriented work environment.
Expertise in data management strategy execution for finance applications.
Strong analytical and problem‑solving skills with excellent oral and written communication.
Readiness to travel for client engagements.
Qualifications
Bachelor’s degree in Finance, Accounting, Business, Computer Science, or a related field.
Minimum seven years of progressive experience in Financial Planning & Analysis (FP&A), demonstrating expertise in strategic financial planning, budgeting, forecasting, financial modeling, scenario analysis, variance analysis, and reporting.
Strong proficiency with Enterprise Performance Management (EPM) platforms, including hands‑on experience with Anaplan, Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS), Oracle Hyperion, OneStream, Tagetik, or similar.
Solid understanding of financial data architecture and governance, including dimensional design, chart of accounts structuring, data quality standards, and master data management for finance applications.
Excellent communication, collaboration, and problem‑solving skills in a fast‑paced, dynamic environment.
Strong business acumen, relationship management, and commercial awareness.
Willingness to travel to meet client needs.
Ideal Qualifications
Advanced degree emphasis in Finance, Accounting, Economics, Computer Science, MIS, or IT.
Exceptional interpersonal skills facilitating team collaboration and client trust.
Proactive problem‑solving and decision‑making approach.
Experience leading diverse teams in dynamic environments.
What We Look For We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet evolving industry demands.
What We Offer You
Comprehensive compensation and benefits package with performance‑based rewards and wide range of paid time off options.
Flexible hybrid work model with in‑person collaboration 40–60% of the time.
Support for vacation time tailored to personal circumstances and access to EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leave options.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Finance and Sales; Professional Services
#J-18808-Ljbffr