Senior AI Finance Data Architect

EY; Raleigh (NC); Hybrid; USD 103,000 - 188,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking an Al Finance Senior to support the data management strategy for finance applications and to develop the EY Al Finance Blueprint.You will work with the Data Lead and Product Owner to ensure accurate, consistent finance application data architecture enabling informed decisions.

You will engage with business stakeholders, translate requirements, and collaborate with cross-functional teams to design scalable architectures and implement data governance for the finance domain.

Qualifications

• Bachelor's degree or higher with related work experience.
• Minimum of 2 years in data management, with focus on finance data modeling.
• Strong understanding of data governance, quality and master data management.
• Experience with Machine Learning, Gen AI, and Azure data services.

Responsibilities

• Support Finance Applications data lead in executing data management strategy for finance applications.
• Collaborate with finance, IT and data science teams to drive EY Al Finance solution.
• Gather, analyze and translate business requirements into technical specifications.
• Engage with stakeholders to design and deliver scalable data architectures.

Skills

Data management

Machine Learning

Azure Data Services

Data governance

Finance data modeling

GenAI

Education

Bachelor's degree in a related field

Tools

Azure Data Lake

Azure Synapse Analytics

MS SQL

Python

Job description

EY is seeking an Al Finance Senior to support the data management strategy for finance applications and to develop the EY Al Finance Blueprint.You will work with the Data Lead and Product Owner to ensure accurate, consistent finance application data architecture enabling informed decisions.

You will engage with business stakeholders, translate requirements, and collaborate with cross-functional teams to design scalable architectures and implement data governance for the finance domain.