Senior AI Finance Data Architect

EY; San Diego (CA); Hybrid; USD 123,000 - 213,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking an Al Finance Senior Platform Business Analyst to drive data management for finance applications, leveraging ML, Gen AI, and Azure data services. You will work with the Data Lead and Product Owner to design scalable data architectures that enable trustworthy decision-making across EY Finance applications.

You will bridge business needs and technical solutions, engaging clients to translate requirements into architecture and data models, with a focus on data governance, quality, and

Qualifications

• Bachelor's degree or higher with related work experience.
• Minimum 2 years in data management, including finance data.
• Strong knowledge of data governance, quality, and MDM.
• Experience with ML, GenAI, and Azure data services.
• Familiarity with finance applications and financial modeling.

Responsibilities

• Support data management strategy for finance applications.
• Collaborate with Finance, IT, and Data Science teams to implement EY Al Finance solution.
• Engage with stakeholders to analyze requirements and translate to technical specs.
• Lead design and implementation of a common information model for the FDL Blueprint.
• Travel may be required to meet with clients and participate in project activities.

Skills

Data management

Data governance

Data quality

Master data mgmt

Machine Learning

Gen AI

Azure data

Finance applications

Python

Data modeling

Communication

Education

Bachelor's degree

Graduate degree

Tools

Azure Data Lake

Azure Synapse Analytics

MS SQL

Job description

EY is seeking an Al Finance Senior Platform Business Analyst to drive data management for finance applications, leveraging ML, Gen AI, and Azure data services. You will work with the Data Lead and Product Owner to design scalable data architectures that enable trustworthy decision-making across EY Finance applications.

You will bridge business needs and technical solutions, engaging clients to translate requirements into architecture and data models, with a focus on data governance, quality, and