Senior AI Finance Data Consultant

EY; Orlando (FL); Hybrid; USD 103,000 - 213,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Paid time off options

Flexible vacation policy

Job summary

EY is seeking an Al Finance Senior to support the Finance Applications Data Lead in executing the data strategy for finance platforms. This role focuses on developing an industry-agnostic data model for finance applications and ensuring accurate, consistent data architecture across the EY Al Finance offering.

You will work with business stakeholders to evaluate models, translate requirements into technical specs, and collaborate with cross-functional teams to enable informed decision-making

Qualifications

• Knowledge of data governance, data quality, and master data management.
• Experience with ML techniques and Gen AI technologies.
• Azure data services and finance data modeling experience.

Responsibilities

• Collaborate with finance, IT and data science teams to manage finance application data using ML, Gen AI and Azure tech.
• Bridge business needs and technical solutions through system architecture design and data models.
• Engage with stakeholders to gather requirements and translate them into technical specs.
• Travel may be required to meet clients and participate in engagements.

Skills

Data management

Machine Learning

Gen AI

Azure data services

Finance data modeling

Communication

Problem-solving

Education

Bachelor's degree in a relevant field

Graduate degree (advantage)

Tools

Azure Data Lake

Azure Synapse Analytics

MS SQL

Python

Job description

EY is seeking an Al Finance Senior to support the Finance Applications Data Lead in executing the data strategy for finance platforms. This role focuses on developing an industry-agnostic data model for finance applications and ensuring accurate, consistent data architecture across the EY Al Finance offering.

You will work with business stakeholders to evaluate models, translate requirements into technical specs, and collaborate with cross-functional teams to enable informed decision-making