AI Finance Senior Manager: Data & ML-Driven Transformation

EY; Tucson (AZ); A distancia; USD 172.000 - 446.000; Jornada completa

Descripción de la vacante

EY is seeking an AI Finance Senior Manager to lead data management and implement the FDL Blueprint across finance applications, leveraging Machine Learning, Gen AI, and Azure technologies. You will collaborate with Finance, IT, and Data Science teams to drive innovation and business value through EY’s AI Finance solution offering.

The role requires deep expertise in finance applications (planning, reporting, close/consolidation) and strong leadership to shape data architecture and governance.

Formación

• Minimum of seven years of progressive FP&A experience with strategic planning, budgeting, and forecasting
• Experience with EPM platforms (Anaplan, Oracle EPM, Oracle Hyperion, OneStream/Tagetik)
• Knowledge of finance data architecture, governance, and data modeling
• Familiarity with machine learning and Gen AI applications in finance
• Ability to travel to client engagements as required

Responsabilidades

• Lead design and delivery of system architecture solutions with technical teams
• Tailor platforms to align with business processes and maximize investment value
• Manage complex processes and projects with emphasis on quality and risk management

Conocimientos

Financial Planning & Analysis

Enterprise Data Management

Machine Learning

Gen AI

Azure

Stakeholder Management

Team Leadership

Educación

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

Herramientas

Anaplan

Oracle EPM Cloud

Oracle Hyperion

OneStream

Tagetik

Descripción del empleo

EY is seeking an AI Finance Senior Manager to lead data management and implement the FDL Blueprint across finance applications, leveraging Machine Learning, Gen AI, and Azure technologies. You will collaborate with Finance, IT, and Data Science teams to drive innovation and business value through EY’s AI Finance solution offering.

The role requires deep expertise in finance applications (planning, reporting, close/consolidation) and strong leadership to shape data architecture and governance.