Senior AI Finance Data Architect

EY; Raleigh (NC); Hybrid; USD 103,000 - 188,000; Full time

Job summary

EY is seeking a senior Finance Applications Data professional to lead data management initiatives for finance applications across EY’s global EY Al Finance blueprint. You will work with Data Lead and Product Owner to ensure accurate, consistent finance data architecture and enable informed decision-making.

The role emphasizes data governance, ML/Gen AI integration, and collaboration with cross-service lines to extend data models and support finance personas.

Qualifications

• Bachelor's degree and 2–3 years of related work experience.
• 2 years in data management with at least 1 year on finance application data.
• Strong understanding of 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).
• Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow).
• Proficiency in data integration, data transformation, and data modeling tools and techniques.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies.

Responsibilities

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

Skills

Stakeholder engagement

Communication

Project management

Data governance

Data modeling

Azure data services

Python

MS SQL

Education

Bachelor's degree

Graduate degree

Tools

Azure Data Lake

Azure Synapse Analytics

Job description

EY is seeking a senior Finance Applications Data professional to lead data management initiatives for finance applications across EY’s global EY Al Finance blueprint. You will work with Data Lead and Product Owner to ensure accurate, consistent finance data architecture and enable informed decision-making.

The role emphasizes data governance, ML/Gen AI integration, and collaboration with cross-service lines to extend data models and support finance personas.