AI Finance Data Architect: ML/GenAI & Finance Apps

EY; Portland (OR); On-site; USD 103,000 - 188,000; Full time

Job summary

EY is seeking a Senior Finance Applications Data Specialist to lead data management for finance applications, leveraging ML and Gen AI to enhance governance, quality, and interoperability. You will partner with the Data Lead and Product Owner to shape EY Al Finance Blueprint and extend our industry-agnostic data model.

You will collaborate across Finance, Managed Services, and Tech Consulting to ensure scalable, secure data architectures and to drive informed decisions with accurate data.

Qualifications

• Bachelor's degree in a related field and ~3 years of experience, or a graduate degree with ~2 years.
• Experience in data management, with focus on finance application data, data modeling, and financial modeling.
• Strong knowledge of data governance, data quality, and master data management.
• Experience with Machine Learning, Gen AI, and Azure data services (e.g., Azure Data Lake, Azure Synapse, MS SQL, Python).

Responsibilities

• Analyze business requirements and translate them into technical specifications.
• Collaborate with technical teams to design system architecture solutions.
• Define data requirements, architecture, and models for finance applications with ML/Gen AI considerations.
• Develop and maintain the EY Al Finance Blueprint and its data governance framework.

Skills

Stakeholder engagement

Data governance

Data quality

Master data management

Machine Learning

Gen AI

Azure data services

Python

Data modeling

Education

Bachelor's degree

Graduate degree (advantageous)

Tools

Azure Data Lake

Azure Synapse Analytics

MS SQL

Python

Job description

EY is seeking a Senior Finance Applications Data Specialist to lead data management for finance applications, leveraging ML and Gen AI to enhance governance, quality, and interoperability. You will partner with the Data Lead and Product Owner to shape EY Al Finance Blueprint and extend our industry-agnostic data model.

You will collaborate across Finance, Managed Services, and Tech Consulting to ensure scalable, secure data architectures and to drive informed decisions with accurate data.