AI Finance Senior Manager: Data, ML & Governance

EY; Raleigh (NC); Hybrid; USD 172.000 - 392.000; Vollzeit

Benefits dieser Stelle

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Zusammenfassung

EY is seeking an AI Finance Senior Manager to lead data management for finance applications, leveraging machine learning, Gen AI, and Azure data technologies to deliver EY AI Finance solutions. This role will collaborate with finance, IT, and data science teams to drive innovation and value through the FDL Blueprint.

You will define data needs, architecture, and models for finance workflows (planning, reporting, close/consolidation) and guide the development of scalable, secure data governance

Qualifikationen

• Bachelor's degree or higher in a relevant field.
• 7+ years in FP&A with strategic planning, budgeting and forecasting expertise.
• Hands-on experience with EPM platforms (Anaplan, Oracle EPM Cloud, Hyperion, OneStream/Tagetik).
• Knowledge of financial data architecture, governance, and MDM for finance applications.

Aufgaben

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

Kenntnisse

Manage and deliver complex solutions

Relationship building with client

Risk management

Team leadership and mentoring

Ausbildung

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

Tools

Anaplan

Oracle EPM Cloud Suite

Oracle Hyperion

OneStream / Tagetik

Jobbeschreibung

EY is seeking an AI Finance Senior Manager to lead data management for finance applications, leveraging machine learning, Gen AI, and Azure data technologies to deliver EY AI Finance solutions. This role will collaborate with finance, IT, and data science teams to drive innovation and value through the FDL Blueprint.

You will define data needs, architecture, and models for finance workflows (planning, reporting, close/consolidation) and guide the development of scalable, secure data governance