Senior AI Finance Platform Analyst

EY; Washington (District of Columbia); Hybrid; USD 103,000 - 188,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Paid time off

Total Rewards

Job summary

EY is seeking an Al Finance Senior to lead data management for finance applications, leveraging ML, Gen AI, and Azure data services. You will help develop the EY Al Finance service with a scalable data model and robust governance.

You will work with stakeholders to translate requirements into technical specs, bridging business and technical teams to design secure, scalable data architecture. Regular travel may be required.

Qualifications

• Experience implementing data governance, data quality, and master data management.
• Knowledge of finance data models (PnL, Balance Sheet, Cash Flow).
• Strong data integration and data transformation skills.
• Experience with ML techniques and Gen AI in data-driven finance initiatives.
• Familiarity with Azure data services and data architecture.

Responsibilities

• Support data management strategy for finance applications and data architecture.
• Collaborate with finance, IT, and data science teams to implement the EY Al Finance Blueprint.
• Engage with stakeholders to translate requirements into technical specs.
• Develop and extend an extensible information model for the FDL Blueprint.

Skills

Data management

Data governance

Data quality

Master data management

Machine Learning

Gen AI

Azure data technologies

Finance applications

Data modeling

Communication & collaboration

Education

Bachelor's degree

Graduate degree

Tools

Azure Data Lake

Azure Synapse Analytics

MS SQL

Python

Job description

EY is seeking an Al Finance Senior to lead data management for finance applications, leveraging ML, Gen AI, and Azure data services. You will help develop the EY Al Finance service with a scalable data model and robust governance.

You will work with stakeholders to translate requirements into technical specs, bridging business and technical teams to design secure, scalable data architecture. Regular travel may be required.