Senior AI Finance Data Architect

EY

Stamford (CT)

Hybrid

USD 103,000 - 188,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
Pension and 401(k)

Job summary

EY is seeking a Senior Al Finance Platform Analyst to help execute the data management strategy for finance applications. You will leverage expertise in finance apps, enterprise data management, data governance, and Generative AI to develop and implement the EY Al Finance Blueprint and related data models.

Regular interaction with stakeholders will shape requirements and drive data architecture decisions. You will collaborate with Data Lead, Product Owner, and cross-service teams to ensure

Qualifications

  • Bachelor's or graduate degree with years of related experience in data management or finance data.
  • Experience with data governance, data quality, and master data management.
  • Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow).
  • Experience with ML techniques, Gen AI, and Azure data services.

Responsibilities

  • Support the finance data management strategy and EY Al Finance solution offering.
  • Collaborate with business stakeholders to gather requirements and translate them into technical specs.
  • Work with data scientists and cross-service teams to align data models and data governance across finance apps.

Skills

Data governance
Data quality
Master data management
Machine Learning
Generative AI
Finance data management
Stakeholder engagement

Education

Bachelor's degree
Graduate degree

Tools

Azure Data Lake
Azure Synapse Analytics
MS SQL
Python

Job description

EY is seeking a Senior Al Finance Platform Analyst to help execute the data management strategy for finance applications. You will leverage expertise in finance apps, enterprise data management, data governance, and Generative AI to develop and implement the EY Al Finance Blueprint and related data models.

Regular interaction with stakeholders will shape requirements and drive data architecture decisions. You will collaborate with Data Lead, Product Owner, and cross-service teams to ensure

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