AI Finance Senior Manager - Data-Driven, Enterprise AI

EY

Atlanta (GA)

Remote

USD 172,000 - 392,000

Full time

38 hours ago
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Job summary

EY is seeking an AI Finance Senior Manager to drive data management for finance applications, leveraging Machine Learning, Gen AI, and Azure technologies to deliver the EY AI Finance solution offering.

You will collaborate with finance, IT, and data science teams to design data architecture, governance, and scalable models, shaping the FDL blueprint and ensuring data accuracy, interoperability, and value realization across finance platforms.

Qualifications

  • Bachelor's degree in Finance, Accounting, Business, CS
  • 7+ years in FP&A with planning, budgeting, forecasting, modeling and variance analysis
  • Strong proficiency with EPM platforms: Anaplan, Oracle EPM Cloud, Oracle Hyperion, OneStream/Tagetik
  • Knowledge of finance data architecture and governance
  • Knowledge of finance applications including PnL, Balance Sheet, Cash Flow
  • Excellent communication and collaboration
  • Willingness to travel for client engagements

Responsibilities

  • Lead design and delivery of system architecture in collaboration with technical teams
  • Tailor technology platforms to business processes to maximize client investment
  • Manage complex processes and projects with focus on quality, risk management

Skills

Managing complex solutions
Client relationship management
Risk management
Team leadership
Travel willingness
Data governance
ML / Gen AI awareness

Education

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

Tools

Anaplan
Oracle EPM Cloud
Oracle Hyperion
OneStream / Tagetik

Job description

EY is seeking an AI Finance Senior Manager to drive data management for finance applications, leveraging Machine Learning, Gen AI, and Azure technologies to deliver the EY AI Finance solution offering.

You will collaborate with finance, IT, and data science teams to design data architecture, governance, and scalable models, shaping the FDL blueprint and ensuring data accuracy, interoperability, and value realization across finance platforms.

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