AI Finance Senior Manager: Data, ML & Finance Architecture

EY; New Brunswick (NJ); A distancia; USD 172.000 - 392.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and dental coverage

Pension and 401(k)

Paid time off

Descripción de la vacante

EY is seeking an AI Finance Senior Manager to drive data management for finance applications, leveraging ML, Gen AI, and Azure data technologies to deliver EY’s AI Finance solution offering. You will collaborate with finance, IT, and data science teams to shape data architecture and governance.

Travel as needed and lead the design of scalable, secure data models and an extensible FDL Blueprint while ensuring data quality and interoperability across planning, reporting, and close processes.

Formación

• Bachelor's degree and 7+ years FP&A with experience in planning, budgeting, and forecasting.
• Strong proficiency with EPM platforms (Anaplan, Oracle EPM, Hyperion, OneStream/Tagetik).
• Knowledge of finance data architecture, governance, and master data management for finance applications.

Responsabilidades

• Lead system architecture design in collaboration with technical teams.
• Tailor technology platforms to business processes to maximize ROI.
• Manage complex processes, solutions and projects with focus on quality and risk.
• Support data management strategy execution for finance applications.

Conocimientos

Complex solutions

Client relationships

Risk management

Project leadership

Data governance

Gen AI

Machine Learning

Azure data

Finance applications

Communication

Educación

Bachelor's degree in Finance, Accounting, Business, Computer Science

Herramientas

Anaplan

Oracle EPM Cloud

Oracle Hyperion

OneStream

Tagetik

Azure

Descripción del empleo

EY is seeking an AI Finance Senior Manager to drive data management for finance applications, leveraging ML, Gen AI, and Azure data technologies to deliver EY’s AI Finance solution offering. You will collaborate with finance, IT, and data science teams to shape data architecture and governance.

Travel as needed and lead the design of scalable, secure data models and an extensible FDL Blueprint while ensuring data quality and interoperability across planning, reporting, and close processes.