EY
AI Finance - Senior Manager - Tech Consulting - Location Open
EY, Oklahoma City, Oklahoma, United States, 73116
AI Finance - Senior Manager - Tech Consulting - Location Open
Join to apply for the
AI Finance - Senior Manager - Tech Consulting - Location Open
role at
EY .
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 Orleans, 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.
The 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) coupled with skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas. One of the key responsibilities is developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry‑agnostic data model that ensures consistency and interoperability across finance applications.
Key Responsibilities
Leading the design and delivery of system architecture solutions in collaboration with technical teams.
Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
Managing complex processes, solutions, and projects while maintaining focus on quality and risk management.
Leading engagement delivery and managing client relationships.
Driving high‑quality work products within expected time frames and on budget.
Monitoring progress, managing risk, and keeping stakeholders informed about progress and expected outcomes.
Managing expectations of client service delivery.
Effectively motivating client engagement teams with diverse skills and providing constructive on‑the‑job feedback and coaching.
Supporting the Data Management Strategy Execution, defining data requirements, architecture, and models for finance applications, and leading the design and implementation of an extensible common information model for the FDL Blueprint.
Developing documentation such as data dictionaries, entity‑relationship diagrams, and data lineage maps.
Collaborating with data scientists and finance SMRs across service lines to apply Machine Learning and Gen AI techniques to finance applications and personas.
Maintaining a robust data governance framework for the FDL and staying current with advancements in ML, Gen AI, data management, and Azure technologies.
Traveling as required for client engagements and project needs.
Skills and Attributes for Success
Proven ability to manage and deliver complex solutions.
Fostering relationships with client personnel at appropriate levels and delivering quality client services.
Monitoring progress, managing risk, and communicating key stakeholders.
Managing client service delivery expectations.
Effectively managing and motivating diverse client engagement teams.
Fostering an innovative and inclusive team‑oriented work environment.
Mentoring junior consultants.
Supporting Data Management Strategy Execution for finance applications.
Defining data requirements, architecture, and models, incorporating ML and Gen AI.
Leading design and implementation of the FDL Blueprint solution offering.
Developing documentation—data dictionaries, entity‑relationship diagrams, data lineage maps.
Collaborating with data scientists and finance SMRs across service lines.
Maintaining robust data governance framework for the FDL.
Staying current with ML, Gen AI, data management, and Azure technologies.
Able to travel as required for client engagements.
Required Qualifications
Bachelor's degree in Finance, Accounting, Business, or Computer Science.
Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:
Strategic financial planning, budgeting, and forecasting processes.
Financial modeling and scenario analysis.
Variance analysis and management reporting.
Cross‑functional collaboration with business stakeholders.
Proficiency with EPM platforms, including hands‑on experience with:
Anaplan (Certified Model Builder preferred).
Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS).
Oracle Hyperion.
OneStream, Tagetik, or similar platforms.
Solid understanding of financial data architecture and governance, including:
Financial data modeling and dimensional design.>
Chart of accounts structuring and hierarchy management.
Data quality standards and reconciliation processes.
Master data management for finance applications.
Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow).
Excellent communication, collaboration, and problem‑solving skills.
Ability to work effectively in a fast‑paced, dynamic environment, supporting emerging technologies.
Strong business skills, relationship management, commercial awareness, and communication.
Willingness to travel as needed.
Preferred Qualifications
Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred.
Strong ability to adapt to changing technology landscapes and stay ahead of industry trends.
Exceptional interpersonal skills to foster team collaboration and client trust.
Proactive approach to problem‑solving and decision‑making.
Experience leading diverse teams in dynamic environments.
What We Offer You
A comprehensive compensation and benefits package with performance‑based rewards and recognition.
Hands‑on experience with cutting‑edge technologies and large‑scale transformations.
Build a flexible hybrid working structure: most external client roles will work in person 40–60% of the time during engagements.
A flexible vacation policy with additional paid time off for EY holidays, family care, and other leaves.
EY accepts applications for this position on an ongoing basis.
EY focuses on high‑ethical standards and integrity. All candidates must 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, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you have a disability and need assistance applying online or request an accommodation during the application process, please contact 1-800-EY-HELP3 (Option 2 for candidate related inquiries, then Option 1 for candidate queries, then Option 2 for candidates with an inquiry) or email ssc.customersupport@ey.com.
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AI Finance - Senior Manager - Tech Consulting - Location Open
role at
EY .
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 Orleans, 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.
The 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) coupled with skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas. One of the key responsibilities is developing and implementing our “FDL consulting blueprint” service offering, with the goal of creating an industry‑agnostic data model that ensures consistency and interoperability across finance applications.
Key Responsibilities
Leading the design and delivery of system architecture solutions in collaboration with technical teams.
Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
Managing complex processes, solutions, and projects while maintaining focus on quality and risk management.
Leading engagement delivery and managing client relationships.
Driving high‑quality work products within expected time frames and on budget.
Monitoring progress, managing risk, and keeping stakeholders informed about progress and expected outcomes.
Managing expectations of client service delivery.
Effectively motivating client engagement teams with diverse skills and providing constructive on‑the‑job feedback and coaching.
Supporting the Data Management Strategy Execution, defining data requirements, architecture, and models for finance applications, and leading the design and implementation of an extensible common information model for the FDL Blueprint.
Developing documentation such as data dictionaries, entity‑relationship diagrams, and data lineage maps.
Collaborating with data scientists and finance SMRs across service lines to apply Machine Learning and Gen AI techniques to finance applications and personas.
Maintaining a robust data governance framework for the FDL and staying current with advancements in ML, Gen AI, data management, and Azure technologies.
Traveling as required for client engagements and project needs.
Skills and Attributes for Success
Proven ability to manage and deliver complex solutions.
Fostering relationships with client personnel at appropriate levels and delivering quality client services.
Monitoring progress, managing risk, and communicating key stakeholders.
Managing client service delivery expectations.
Effectively managing and motivating diverse client engagement teams.
Fostering an innovative and inclusive team‑oriented work environment.
Mentoring junior consultants.
Supporting Data Management Strategy Execution for finance applications.
Defining data requirements, architecture, and models, incorporating ML and Gen AI.
Leading design and implementation of the FDL Blueprint solution offering.
Developing documentation—data dictionaries, entity‑relationship diagrams, data lineage maps.
Collaborating with data scientists and finance SMRs across service lines.
Maintaining robust data governance framework for the FDL.
Staying current with ML, Gen AI, data management, and Azure technologies.
Able to travel as required for client engagements.
Required Qualifications
Bachelor's degree in Finance, Accounting, Business, or Computer Science.
Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:
Strategic financial planning, budgeting, and forecasting processes.
Financial modeling and scenario analysis.
Variance analysis and management reporting.
Cross‑functional collaboration with business stakeholders.
Proficiency with EPM platforms, including hands‑on experience with:
Anaplan (Certified Model Builder preferred).
Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS).
Oracle Hyperion.
OneStream, Tagetik, or similar platforms.
Solid understanding of financial data architecture and governance, including:
Financial data modeling and dimensional design.>
Chart of accounts structuring and hierarchy management.
Data quality standards and reconciliation processes.
Master data management for finance applications.
Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow).
Excellent communication, collaboration, and problem‑solving skills.
Ability to work effectively in a fast‑paced, dynamic environment, supporting emerging technologies.
Strong business skills, relationship management, commercial awareness, and communication.
Willingness to travel as needed.
Preferred Qualifications
Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred.
Strong ability to adapt to changing technology landscapes and stay ahead of industry trends.
Exceptional interpersonal skills to foster team collaboration and client trust.
Proactive approach to problem‑solving and decision‑making.
Experience leading diverse teams in dynamic environments.
What We Offer You
A comprehensive compensation and benefits package with performance‑based rewards and recognition.
Hands‑on experience with cutting‑edge technologies and large‑scale transformations.
Build a flexible hybrid working structure: most external client roles will work in person 40–60% of the time during engagements.
A flexible vacation policy with additional paid time off for EY holidays, family care, and other leaves.
EY accepts applications for this position on an ongoing basis.
EY focuses on high‑ethical standards and integrity. All candidates must 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, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you have a disability and need assistance applying online or request an accommodation during the application process, please contact 1-800-EY-HELP3 (Option 2 for candidate related inquiries, then Option 1 for candidate queries, then Option 2 for candidates with an inquiry) or email ssc.customersupport@ey.com.
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