AI Finance Strategy Manager

EY; Boston (MA); On-site; USD 143,000 - 262,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension plan

401(k)

Job summary

EY is seeking an AI Finance Manager in the US to support the Finance Applications Data Lead. You will apply expertise in finance apps (planning, reporting, close/consolidation) and enterprise data management, governance, and Gen AI to enable data-driven decisions.

You will develop and implement the FDL Blueprint, collaborate with data scientists, and ensure scalable, secure data architecture across finance applications. Travel as needed.

Qualifications

• Bachelor's degree in Finance, Accounting, Business, Computer Science.
• Minimum of five years of progressive FP&A experience with strategic planning, budgeting, forecasting, and modeling.
• Strong proficiency with Enterprise Performance Management (EPM) platforms.
• Hands-on experience with Anaplan, Oracle EPM Cloud, FCCS/EPBCS, Hyperion, and OneStream/Tagetik.
• Knowledge of financial data architecture, governance, data quality, and master data management.
• Willingness to travel to meet client needs.

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

Complex solutions

Client relationships

Risk management

Mentoring junior consultants

Data governance

Gen AI

Machine Learning

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 in the US to support the Finance Applications Data Lead. You will apply expertise in finance apps (planning, reporting, close/consolidation) and enterprise data management, governance, and Gen AI to enable data-driven decisions.

You will develop and implement the FDL Blueprint, collaborate with data scientists, and ensure scalable, secure data architecture across finance applications. Travel as needed.