AI Finance Manager: Data-Driven Finance Architect

EY

Cleveland (OH)

Vor Ort

USD 143.000 - 285.000

Vollzeit

vor 35 Stunden
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Zusammenfassung

EY is seeking an AI Finance Manager to support the Finance Applications Data Lead in defining and executing data management for finance applications. You will apply your FP&A and data governance expertise, leveraging Gen AI to enhance finance personas and drive the FDL Blueprint across client engagements.

You will collaborate with Data Lead and Product Owner to ensure data architecture alignment, scalability, and secure data practices while enabling informed decision-making.

Qualifikationen

  • Bachelor's degree in Finance, Accounting, Business, or Computer Science.
  • Minimum of five years of progressive FP&A experience.
  • Strong experience with Enterprise Performance Management (EPM) platforms (Anaplan, Oracle EPM Cloud, Oracle Hyperion, OneStream, Tagetik).
  • Excellent communication, collaboration and problem-solving skills.
  • Ability to travel as required for client engagements.

Aufgaben

  • Design and deliver system architecture solutions in collaboration with technical teams.
  • Tailor technology platforms to business processes to maximize ROI and continuous improvement.
  • Manage complex processes, solutions, and projects with a focus on quality and risk management.

Kenntnisse

FP&A expertise
Financial modeling
Stakeholder management
Data governance
Gen AI awareness
Machine Learning

Ausbildung

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

Tools

Anaplan
Oracle EPM Cloud
Oracle Hyperion
OneStream
Tagetik

Jobbeschreibung

EY is seeking an AI Finance Manager to support the Finance Applications Data Lead in defining and executing data management for finance applications. You will apply your FP&A and data governance expertise, leveraging Gen AI to enhance finance personas and drive the FDL Blueprint across client engagements.

You will collaborate with Data Lead and Product Owner to ensure data architecture alignment, scalability, and secure data practices while enabling informed decision-making.

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