Senior AI Finance Data Architect

EY; Cincinnati (OH); Hybrid; USD 103,000 - 188,000; Full time

Benefits offered by this job

Hybrid work model

Paid time off

Total Rewards package

Job summary

EY is seeking an Al Finance Senior who will support data management for finance applications, leveraging ML, Gen AI, and Azure data tech. You will work with business stakeholders to translate needs into technical specs and help design a scalable, extensible data model and blueprint across finance platforms.

You will collaborate with Data Lead, Product Owner, and cross-service teams to drive innovation, governance, and data quality while enabling informed decisions.

Qualifications

• Bachelor's degree or graduate degree with related work experience.
• 2+ years in data management, 1 year in finance data/modeling.
• Strong understanding of data governance, quality, and master data management.
• Experience with ML techniques, Gen AI, and Azure data services.
• Knowledge of finance applications including financial modeling.

Responsibilities

• Gather and analyze business requirements and translate into technical specs.
• Collaborate with finance, IT, and data science teams to design solutions.
• Lead architecture design and ensure data consistency across finance apps.
• Engage with stakeholders and manage client expectations.
• Travel as needed to meet with clients and advance projects.

Skills

Data management

Machine Learning

Gen AI

Azure data services

Data governance

Data modeling

Finance applications

Communication

Problem-solving

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 who will support data management for finance applications, leveraging ML, Gen AI, and Azure data tech. You will work with business stakeholders to translate needs into technical specs and help design a scalable, extensible data model and blueprint across finance platforms.

You will collaborate with Data Lead, Product Owner, and cross-service teams to drive innovation, governance, and data quality while enabling informed decisions.