AI Finance Manager — Data Architecture & Gen AI Lead

EY; Honolulu (HI); On-site; USD 143,000 - 262,000; Full time

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 applications. You will leverage expertise in planning, reporting, and close/consolidation, with Gen AI and Gen AI capabilities to serve finance personas.

The role emphasizes developing the FDL Blueprint to enable interoperable finance data models across applications. You will collaborate with Data Scientists and Finance SMRs, drive governance, and stay current with Azure

Qualifications

• 5+ years of progressive FP&A experience with expertise in planning, budgeting, forecasting, modeling, and variance analysis.
• Strong proficiency with Enterprise Performance Management (EPM) platforms and data governance.
• Experience applying machine learning or Gen AI to finance applications.

Responsibilities

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

Skills

Complex solutions

Client relationships

Risk management

Client service delivery

Team coaching

Team leadership

Data management

Data architecture

FDL Blueprint

Data documentation

Gen AI collaboration

Data governance

Gen AI & Azure

Travel flexibility

Education

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

Tools

Anaplan

Oracle EPM Cloud Suite

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 applications. You will leverage expertise in planning, reporting, and close/consolidation, with Gen AI and Gen AI capabilities to serve finance personas.

The role emphasizes developing the FDL Blueprint to enable interoperable finance data models across applications. You will collaborate with Data Scientists and Finance SMRs, drive governance, and stay current with Azure