EY
AI Finance - Manager - Tech Consulting - Location Open
EY, Chicago, Illinois, United States, 60290
AI Finance Manager – Tech Consulting
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) and enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas. One key responsibility will focus on developing and implementing our EY AI Finance service offering, creating an industry agnostic data model to ensure data consistency and interoperability across finance applications.
The manager 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.
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 finance, IT, and data science teams in the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies.
Manage delivery of the EY AI Finance solution offering and ensure scalability, performance, and security.
Coordinate with cross‑service line teams, including Finance, Managed Services, and Tech Consulting, to align finance application data with related data initiatives.
Define data requirements, data architecture, and data models for finance applications, considering Machine Learning and Gen AI opportunities.
Develop and maintain documentation such as data dictionaries, entity‑relationship diagrams, and data lineage maps.
Support the establishment and maintenance of a robust data governance framework for the FDL blueprint.
Stay current with advancements in Machine Learning, Gen AI, and Azure technologies and recommend innovative solutions.
Skills and Attributes for Success
Foster relationships with client personnel at appropriate levels.
Consistently deliver high quality client services on time and on budget.
Monitor progress, manage risk, and keep stakeholders informed.
Manage client service delivery expectations and motivate diverse engagement teams.
Provide constructive feedback and coaching to team members.
Encourage an innovative and inclusive team‑oriented environment.
Mentor junior consultants and support their development.
Collaborate with cross‑service line teams to integrate finance application data into broader initiatives.
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 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 governance, 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 and financial modeling (PnL, Balance Sheet, Cash Flow).
Proficiency with data integration, transformation, and modeling tools and techniques.
Excellent communication, collaboration, and problem‑solving skills.
Ability to thrive in a fast‑paced, dynamic environment and support adoption 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 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
A comprehensive compensation and benefits package, including base salary ranging from $142,600 to $261,500 (US), with higher ranges for selected metro areas. The package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time‑off options.
A flexible hybrid working model with 40‑60% required in‑office time for external client‑serving roles.
Personalized vacation policies and generous holidays, breaks, and leaves of absence.
Professional development opportunities and a culture that fosters growth and innovation.
Equal Employment Opportunity
EY is committed to providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records. EY is also committed to providing reasonable accommodation to qualified individuals with disabilities.
#J-18808-Ljbffr
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) and enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI to support key finance personas. One key responsibility will focus on developing and implementing our EY AI Finance service offering, creating an industry agnostic data model to ensure data consistency and interoperability across finance applications.
The manager 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.
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 finance, IT, and data science teams in the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies.
Manage delivery of the EY AI Finance solution offering and ensure scalability, performance, and security.
Coordinate with cross‑service line teams, including Finance, Managed Services, and Tech Consulting, to align finance application data with related data initiatives.
Define data requirements, data architecture, and data models for finance applications, considering Machine Learning and Gen AI opportunities.
Develop and maintain documentation such as data dictionaries, entity‑relationship diagrams, and data lineage maps.
Support the establishment and maintenance of a robust data governance framework for the FDL blueprint.
Stay current with advancements in Machine Learning, Gen AI, and Azure technologies and recommend innovative solutions.
Skills and Attributes for Success
Foster relationships with client personnel at appropriate levels.
Consistently deliver high quality client services on time and on budget.
Monitor progress, manage risk, and keep stakeholders informed.
Manage client service delivery expectations and motivate diverse engagement teams.
Provide constructive feedback and coaching to team members.
Encourage an innovative and inclusive team‑oriented environment.
Mentor junior consultants and support their development.
Collaborate with cross‑service line teams to integrate finance application data into broader initiatives.
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 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 governance, 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 and financial modeling (PnL, Balance Sheet, Cash Flow).
Proficiency with data integration, transformation, and modeling tools and techniques.
Excellent communication, collaboration, and problem‑solving skills.
Ability to thrive in a fast‑paced, dynamic environment and support adoption 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 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
A comprehensive compensation and benefits package, including base salary ranging from $142,600 to $261,500 (US), with higher ranges for selected metro areas. The package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time‑off options.
A flexible hybrid working model with 40‑60% required in‑office time for external client‑serving roles.
Personalized vacation policies and generous holidays, breaks, and leaves of absence.
Professional development opportunities and a culture that fosters growth and innovation.
Equal Employment Opportunity
EY is committed to providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records. EY is also committed to providing reasonable accommodation to qualified individuals with disabilities.
#J-18808-Ljbffr