Senior AI Finance Data Architect

EY; Austin (TX); Hybrid; USD 103,000 - 188,000; Full time

Benefits offered by this job

Hybrid work model

Total rewards: medical & dental, 401(k

Paid time off

Job summary

EY is seeking an Al Finance Senior to support data management for finance applications, leveraging ML, Gen AI, and Azure data technologies. You will collaborate with the Data Lead and Product Owner to implement an extensible EY Al Finance Blueprint that ensures accurate, consistent finance data architecture for informed decision-making.

You will work with finance, IT, and data science teams to analyze business requirements, translate them into technical specifications, and design architecture

Qualifications

• A bachelor's degree and approximately three years of related work experience.
• Minimum of 2 years of experience in data management, with at least 1 year focused on finance application data.
• Strong understanding of data management principles, including data governance, data quality, and master data management.
• Experience with Machine Learning techniques, Gen AI technologies, and Azure data services (e.g., Azure Data Lake, Azure Synapse Analytics, MS SQL, Python).

Responsibilities

• Engage with business stakeholders to gather and analyze business requirements.
• Collaborate with technical teams to design and deliver system architecture solutions.
• Tailor technology platforms to align with business processes and objectives.

Skills

Stakeholder management

Risk management

Team leadership

Data governance

Machine Learning

Gen AI

Azure

Data modeling

Education

Bachelor's degree

Tools

Azure Data Services

Python

SQL

Job description

EY is seeking an Al Finance Senior to support data management for finance applications, leveraging ML, Gen AI, and Azure data technologies. You will collaborate with the Data Lead and Product Owner to implement an extensible EY Al Finance Blueprint that ensures accurate, consistent finance data architecture for informed decision-making.

You will work with finance, IT, and data science teams to analyze business requirements, translate them into technical specifications, and design architecture