AI Finance Manager: Data-Driven FP&A & Gen AI Leader

EY

Greenville (SC)

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
401(k) plan
Paid time off

Job summary

EY is seeking an AI Finance Manager to support the Finance Applications Data Lead in delivering a robust data management strategy for finance applications. You will combine FP&A expertise with enterprise data governance, quality, and Gen AI capabilities to build the FDL Blueprint and enable reliable, interoperable finance data models across systems.

You will collaborate with data scientists and finance stakeholders to apply ML/Gen AI to finance personas, ensure data architecture integrity, and

Qualifications

  • Bachelor's degree in Finance, Accounting, Business, or Computer Science.
  • Minimum of five years of FP&A with expertise in planning, budgeting, forecasting, modeling and reporting.
  • Strong proficiency with EPM platforms including Anaplan, Oracle EPM Cloud, Oracle Hyperion, OneStream or Tagetik.
  • Knowledge of data architecture, governance, and data quality in finance applications.

Responsibilities

  • Lead design and delivery of architecture solutions with technical teams.
  • Tailor platforms to business processes to maximize ROI.
  • Manage complex processes and projects with focus on quality and risk.

Skills

FP&A experience
Financial modeling
Data governance
Communication skills
Travel willingness

Education

Bachelor's degree

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 delivering a robust data management strategy for finance applications. You will combine FP&A expertise with enterprise data governance, quality, and Gen AI capabilities to build the FDL Blueprint and enable reliable, interoperable finance data models across systems.

You will collaborate with data scientists and finance stakeholders to apply ML/Gen AI to finance personas, ensure data architecture integrity, and

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