AI Finance Manager: Data Architecture & Gen AI

EY; City of Rochester (NY); On-site; USD 143,000 - 262,000; Full time

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 in the US to support the Finance Applications Data Lead. You will work on data management strategy for finance applications, leveraging Gen AI and ML to enhance decision-making and governance across planning, reporting, and close processes.

Responsibilities include designing an extensible data model for the FDL Blueprint, collaborating with data scientists, and ensuring data quality, security, and compliance across finance platforms. Expect travel as needed.

Qualifications

• Bachelor's degree in Finance, Accounting, Business, Computer Science.
• Minimum of five years of progressive FP&A experience with planning, budgeting and forecasting.
• Strong proficiency with enterprise performance management platforms (Anaplan, Oracle EPM Cloud, Oracle Hyperion, OneStream/Tagetik).
• Knowledge of financial data architecture, governance, and data modeling.

Responsibilities

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

Skills

Managing complex solutions

Client relationship management

Risk management

Data governance

Machine Learning

Gen AI

Education

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

5+ years FP&A experience

Tools

Anaplan

Oracle EPM Cloud Suite

Oracle Hyperion

OneStream/Tagetik

Job description

EY is seeking an AI Finance Manager in the US to support the Finance Applications Data Lead. You will work on data management strategy for finance applications, leveraging Gen AI and ML to enhance decision-making and governance across planning, reporting, and close processes.

Responsibilities include designing an extensible data model for the FDL Blueprint, collaborating with data scientists, and ensuring data quality, security, and compliance across finance platforms. Expect travel as needed.