Senior AI Finance Data Architect

EY; Minneapolis (MN); Hybrid; USD 103,000 - 188,000; Full time

Benefits offered by this job

Hybrid model

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY in the United States is seeking an Al Finance Senior to support the Finance Applications Data Lead, building an industry‑agnostic data model and data architecture for finance apps. You’ll apply expertise in data management, governance, ML, Gen AI, and Azure data services to drive trusted insights and interoperability across platforms.

You’ll collaborate with business stakeholders, translate requirements into technical specs, and guide cross‑functional teams to design scalable, secure

Qualifications

• Bachelor’s degree or graduate degree with related work experience.
• 2+ years data management experience, including finance data and data modeling.
• Knowledge of data governance, data quality, and master data management.
• Experience with ML, Gen AI, and Azure data services.
• Familiarity with finance applications and financial modeling.

Responsibilities

• Support the data management strategy for finance applications and develop the EY Al Finance Blueprint.
• Interact with stakeholders to evaluate models, processes, and operations.
• Translate business requirements into technical specifications and design scalable architectures.

Skills

Stakeholder engagement

Risk management

Team leadership

Mentoring

Data governance

Data quality

Master data management

Machine Learning

Gen AI

Azure data services

Finance data modeling

Data architecture

Documentation

Python

Education

Bachelor’s degree in Finance, Computer Science, Information Systems or related field

Tools

Azure Data Lake

Azure Synapse Analytics

MS SQL

Python

Job description

EY in the United States is seeking an Al Finance Senior to support the Finance Applications Data Lead, building an industry‑agnostic data model and data architecture for finance apps. You’ll apply expertise in data management, governance, ML, Gen AI, and Azure data services to drive trusted insights and interoperability across platforms.

You’ll collaborate with business stakeholders, translate requirements into technical specs, and guide cross‑functional teams to design scalable, secure