AI Finance Manager | Data Architecture & ML

EY

Salt Lake City (UT)

On-site

USD 143,000 - 262,000

Full time

19 hours ago
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Benefits offered by this job

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

Job summary

EY is seeking an AI Finance Manager to support the Finance Applications Data Lead in implementing the data management strategy for finance platforms. The role combines deep FP&A and data governance with hands-on Gen AI and Machine Learning to enable accurate decision-making across finance personas.

You will help develop the FDL blueprint, ensuring an extensible data model and interoperable finance data architecture across planning, reporting, and close/consolidation processes.

Qualifications

  • Bachelor's degree in Finance, Accounting, Business, Computer Science.
  • Minimum of five years of progressive experience in FP&A with strategic planning, budgeting, and forecasting.
  • Strong proficiency with Enterprise Performance Management (EPM) platforms (Anaplan, Oracle EPM Cloud, FCCS, etc.).
  • Solid understanding of financial data architecture, data governance, and master data management for finance applications.
  • Experience applying Machine Learning and Gen AI to finance applications and personas.

Responsibilities

  • Lead design and delivery of system architecture solutions for finance applications.
  • Tailor technology platforms to business processes to maximize client investment.
  • Manage complex processes and projects with focus on quality and risk management.

Skills

FP&A
EPM platforms
Data governance
Machine Learning
Gen AI
Financial modeling

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 Manager to support the Finance Applications Data Lead in implementing the data management strategy for finance platforms. The role combines deep FP&A and data governance with hands-on Gen AI and Machine Learning to enable accurate decision-making across finance personas.

You will help develop the FDL blueprint, ensuring an extensible data model and interoperable finance data architecture across planning, reporting, and close/consolidation processes.

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