AI Finance & Data Architect Manager

EY

Los Angeles (CA)

On-site

USD 143,000 - 262,000

Full time

30 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 executing data management for finance systems. You will leverage expansive knowledge of FP&A, data governance, master data management, and Gen AI to design the FDL Blueprint and ensure data consistency across finance applications.

You will collaborate with data scientists and finance stakeholders to extend the FDL, maintain documentation, and ensure secure, scalable architecture for finance data.

Qualifications

  • Bachelor's degree in Finance, Accounting, Business, Computer Science.
  • Minimum of five years of progressive FP&A experience with strategic planning, budgeting, forecasting, modeling and variance analysis.
  • Strong proficiency with Enterprise Performance Management platforms (Anaplan, Oracle EPM Cloud, Oracle Hyperion, OneStream/Tagetik).

Responsibilities

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

Skills

Complex solutions
Client relationships
Risk management
Stakeholder communication
Team mentoring
Gen AI familiarity

Education

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

Tools

Anaplan
Oracle EPM Cloud (PBCS/ePBCS/FCCS)
Oracle Hyperion
OneStream/Tagetik

Job description

EY is seeking an AI Finance Manager to support the Finance Applications Data Lead in executing data management for finance systems. You will leverage expansive knowledge of FP&A, data governance, master data management, and Gen AI to design the FDL Blueprint and ensure data consistency across finance applications.

You will collaborate with data scientists and finance stakeholders to extend the FDL, maintain documentation, and ensure secure, scalable architecture for finance data.

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