AI Finance Data Architect | GenAI & ML Driven

EY

Hartford (CT)

On-site

USD 103,000 - 188,000

Full time

7 days ago
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Job summary

EY is seeking a Senior Al Finance professional in the US to support the Finance Applications Data Lead. You will apply enterprise data management, governance, and ML/Gen AI to enable data-driven decision making across planning, reporting, and close/consolidation processes.

You will collaborate with cross‑service lines, define data models, and help extend the EY Al Finance Blueprint to deliver scalable, secure data architectures and interoperable finance application data.

Qualifications

  • Bachelor's degree with 3+ years of data management experience
  • Experience with finance data modeling and financial modeling
  • Strong understanding of data governance, data quality and master data management
  • Knowledge of ML techniques, GenAI and Azure data services
  • Familiarity with finance applications (PnL, balance sheet, cash flow)
  • Proficiency in data integration, transformation, and modeling tools

Responsibilities

  • Engage with stakeholders to evaluate business models and requirements
  • Translate business requirements into technical specifications
  • Design and deliver system architecture solutions for finance data
  • Collaborate to align platforms with business processes and objectives

Skills

Stakeholder engagement
Client service delivery
Project management
Data governance
Machine Learning
Gen AI
Azure data services

Education

Bachelor's degree
Graduate degree

Tools

Azure Data Lake
Azure Synapse Analytics
MS SQL
Python

Job description

EY is seeking a Senior Al Finance professional in the US to support the Finance Applications Data Lead. You will apply enterprise data management, governance, and ML/Gen AI to enable data-driven decision making across planning, reporting, and close/consolidation processes.

You will collaborate with cross‑service lines, define data models, and help extend the EY Al Finance Blueprint to deliver scalable, secure data architectures and interoperable finance application data.

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