Senior AI Finance Data Architect | GenAI, ML, Governance

EY; Rogers (AR); On-site; USD 103,000 - 188,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Job summary

EY is hiring for a senior Al Finance role focused on data management for finance applications. You will partner with the Data Lead and Product Owner to design a scalable EY Al Finance Blueprint, enabling accurate, interoperable data across planning, reporting and close processes.

You will leverage expertise in data governance, data quality and master data management while exploring ML and Gen AI for finance personas, with a strong emphasis on architecture, security, and governance.

Qualifications

• Bachelor's degree required or graduate degree with related work experience.
• 2+ years of data management experience, including finance application data and data modeling.
• Strong knowledge of data governance, data quality, and master data management.

Responsibilities

• Collaborate with stakeholders to translate business requirements into technical specifications.
• Design and deliver system architecture solutions for finance data.
• Define data requirements, architecture, and models for finance applications.
• Lead extensible information models for the FDL Blueprint.
• Support ML and Gen AI opportunities within finance data platforms.

Skills

Machine Learning

Gen AI

Azure data services

Data governance

Data quality

Master data management

Data modeling

Finance applications

Communication

Problem solving

Education

Bachelor's degree in a related field

Graduate degree in Finance, CS, IS or related field

Tools

Azure Data Lake

Azure Synapse Analytics

MS SQL

Python

Job description

EY is hiring for a senior Al Finance role focused on data management for finance applications. You will partner with the Data Lead and Product Owner to design a scalable EY Al Finance Blueprint, enabling accurate, interoperable data across planning, reporting and close processes.

You will leverage expertise in data governance, data quality and master data management while exploring ML and Gen AI for finance personas, with a strong emphasis on architecture, security, and governance.