GenAI Finance Data Architect for Enterprise Apps

EY; City of Rochester (NY); On-site; USD 103,000 - 188,000; Full time

Job summary

EY is recruiting for a Senior Al Finance role in the US to support data management for finance applications. You will leverage finance domain know-how with enterprise data governance and ML capabilities to enable accurate, scalable finance data architectures across ERP-like systems.

You will partner with Data Lead and Product Owner to design an extensible FDL Blueprint and drive data consistency, interoperability and governance across finance landscapes.

Qualifications

• Bachelor's degree and about 3 years of related work experience, or graduate degree with ~2 years.
• At least 2 years in data management, with 1 year on finance data & modeling.
• Strong data management principles: governance, quality & MDM.
• Experience with ML, Gen AI and Azure data services listed above.
• Knowledge of finance applications including PnL, balance sheet, cash flow.
• Proficiency in data integration, transformation, and modeling tools.
• Excellent communication, collaboration and problem-solving.
• Ability to work in a fast-paced, tech-driven environment.

Responsibilities

• Interact with stakeholders to evaluate models, processes and ops.
• Translate requirements into technical specifications for implementation.
• Collaborate with teams to design and deliver system architectures.

Skills

Bachelor's degree

Graduate degree

Data governance

Data quality

Master data management

Machine Learning

Gen AI

Azure data services

Data modeling

Data integration

Data transformation

Finance applications

Communication

Collaboration

Problem-solving

Education

Bachelor's degree

Graduate degree

Finance/CS/IS degree

Tools

Azure Data Lake

Azure Synapse Analytics

MS SQL

Python

Job description

EY is recruiting for a Senior Al Finance role in the US to support data management for finance applications. You will leverage finance domain know-how with enterprise data governance and ML capabilities to enable accurate, scalable finance data architectures across ERP-like systems.

You will partner with Data Lead and Product Owner to design an extensible FDL Blueprint and drive data consistency, interoperability and governance across finance landscapes.