AI Finance Data Architect – Manager

EY

Buffalo (NY)

On-site

USD 143,000 - 262,000

Full time

27 hours ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k) plans
Paid time off

Job summary

EY is seeking an AI Finance Manager to support the Finance Applications Data Lead, leveraging deep FP&A expertise, data governance, and Gen AI to drive enterprise insights across finance applications. The role focuses on building scalable data models and an extensible blueprint for finance data architecture.

You will collaborate with data scientists and finance professionals, develop the FDL blueprint, and ensure data quality, governance, and interoperability while traveling to client

Qualifications

  • Bachelor's degree in Finance, Accounting, Business, or Computer Science.
  • At least five years of FP&A experience with budgeting, forecasting, and financial modeling.
  • Strong knowledge of finance applications (PnL, Balance Sheet, Cash Flow) and data governance.

Responsibilities

  • Lead design and delivery of system architecture solutions with technical teams.
  • Tailor technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.
  • Managing complex processes, solutions, and projects with focus on quality and risk management.

Skills

FP&A experience
Anaplan
Oracle EPM Cloud
Oracle Hyperion
OneStream/Tagetik
Data governance
Data modeling
Machine Learning
Gen AI
Data architecture
Communication
Travel flexibility

Education

Bachelor's degree in Finance/Accounting/Business/CS

Tools

Azure

Job description

EY is seeking an AI Finance Manager to support the Finance Applications Data Lead, leveraging deep FP&A expertise, data governance, and Gen AI to drive enterprise insights across finance applications. The role focuses on building scalable data models and an extensible blueprint for finance data architecture.

You will collaborate with data scientists and finance professionals, develop the FDL blueprint, and ensure data quality, governance, and interoperability while traveling to client

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