Artificial Intelligence Data Integration Specialist

will lead the design and implementation of secure, scalable, and compliant data integration solutions that power AI and machine learning initiatives across the bank. This role is critical to enabling advanced analytics, risk modeling, fraud detection, and intelligent automation in a highly regulated financial environment.
** Key Responsibilities
** Collaborate with data scientists, model risk teams, and business units to understand data requirements for AI models supporting credit risk, AML, KYC, and customer intelligence. Ensure data integration processes comply with regulatory requirements (e.g., BCBS 239, GDPR, CCAR, SR 11-7).
** Required Qualifications
** 5+ years of experience in data engineering or integration, preferably in financial services or banking. Strong proficiency in Python, SQL, and data integration tools (e.g., Informatica, Talend, Apache NiFi, Airflow).

Experience with cloud platforms (Azure, AWS, GCP) and financial data services (e.g., Bloomberg, Refinitiv). Familiarity with AI/ML frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn) and model lifecycle management.

Excellent communication and stakeholder management skills.
** Preferred Skills
** Experience with MLOps and model deployment in regulated environments.

Knowledge of financial data domains (e.g., credit, market, operational risk). Familiarity with data lakehouse architectures and tools like Databricks, Snowflake, or Delta Lake.
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