AI Finance Senior Manager — Data & Gen AI Architect

EY; Cincinnati (OH); Remote; USD 172,000 - 392,000; Full time

Job summary

EY is seeking an AI Finance Senior Manager to partner with the Finance Applications Data Lead and drive the data architecture for finance applications. You will apply Machine Learning, Gen AI, and Azure tech to deliver the EY AI Finance offering and ensure data consistency across finance platforms.

You will lead architecture design with cross-functional teams, tailor platforms to business processes, and manage complex programs with a strong focus on quality and risk.

Qualifications

• Bachelor's degree in Finance, Accounting, Business, or Computer Science.
• Minimum of seven years of progressive FP&A experience with planning, budgeting and forecasting.
• Experience with EPM platforms such as Anaplan, Oracle EPM Cloud (PBCS/ePBCS/FCCS), Hyperion, OneStream or Tagetik.
• Strong data governance, data modeling and finance data architecture knowledge.
• Excellent communication, collaboration and problem-solving skills.

Responsibilities

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

Skills

Strategic financial planning

Budgeting

Forecasting

Financial modeling

Scenario analysis

Variance analysis

Management reporting

Cross-functional collaboration

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 Senior Manager to partner with the Finance Applications Data Lead and drive the data architecture for finance applications. You will apply Machine Learning, Gen AI, and Azure tech to deliver the EY AI Finance offering and ensure data consistency across finance platforms.

You will lead architecture design with cross-functional teams, tailor platforms to business processes, and manage complex programs with a strong focus on quality and risk.