AI Finance Data & Strategy Lead

EY; Denver (CO); Remote; USD 172,000 - 428,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY seeks an AI Finance Senior Manager to support the Finance Applications Data Lead in shaping data management strategy for finance applications. This role blends FP&A expertise with enterprise data governance, data quality and master data management, leveraging ML and Gen AI to drive innovation.

You will help develop the FDL Blueprint, ensure scalable data architecture, and collaborate with data scientists and finance SMRs to apply AI techniques. Travel to client engagements is expected.

Qualifications

• Bachelor's degree in Finance, Accounting, Business, Computer Science
• Minimum of seven years of progressive FP&A experience with planning, budgeting, forecasting, modeling and variance analysis
• Proficiency with EPM platforms (Anaplan, Oracle EPM Cloud Suite, Oracle Hyperion, OneStream/Tagetik)
• Knowledge of data architecture, governance, and master data management for finance applications
• Experience applying ML and Gen AI to finance applications and data models

Responsibilities

• Lead the design and delivery of system architecture solutions with technical teams
• Tailor technology platforms to business processes for client value
• Manage complex processes and projects with emphasis on quality and risk management

Skills

Data governance

Data modeling

Master data management

Machine Learning

Gen AI

Azure data technologies

Education

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

Tools

Anaplan

Oracle EPM Cloud Suite

Oracle Hyperion

OneStream/Tagetik

Job description

EY seeks an AI Finance Senior Manager to support the Finance Applications Data Lead in shaping data management strategy for finance applications. This role blends FP&A expertise with enterprise data governance, data quality and master data management, leveraging ML and Gen AI to drive innovation.

You will help develop the FDL Blueprint, ensure scalable data architecture, and collaborate with data scientists and finance SMRs to apply AI techniques. Travel to client engagements is expected.