Artificial Intelligence Data Integration Specialist

Artificial Intelligence Data Integration Specialist

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Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

As a key member of our AI Engineering team, the AI Data Integration Lead will design and implement 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.

• Develop and oversee an enterprise-wide approach to integrate structured and unstructured data into NT’s enterprise AI framework in concert with the AI architecture, AI engineering and data platform engineering teams.
• Lead the practice of data pipeline engineering and rationalize custom data integrations to drive common methods and approaches.
• Lead development of a portfolio of client-facing AI capabilities and integration methods to ensure alignment with validation and responsible AI standards.
• Architect and implement data pipelines that integrate structured and unstructured data from internal banking systems, external feeds, and cloud platforms for AI/ML use cases.
• Drive the semantic architecture and engineering approach for Northern Trust intelligence to support enterprise context engineering and architecture disciplines.
• Collaborate with consulting, business, data scientists, model risk teams, and business units to understand data requirements for AI models supporting key use cases such as credit risk, AML, KYC, and customer intelligence.
• Ensure data integration processes comply with all regulatory requirements (US FFIEC, BCBS 239, GDPR, CCAR, SR 11‑7, etc.).
• Maintain metadata management, data lineage, and audit trails for AI data assets.
• Provide leadership to technical delivery teams to prioritize and refine critical data deliverables.
• Work closely with vendor negotiations, procurement, and transformation to enable scalable consumption with favorable terms and capabilities.
• Guide regulatory compliance processes, audits, and internal reviews.
• Act as End-to-End Data Integration Product Management Vision and Roadmap for AI transformation programs.
• Support real-time and batch data ingestion from core banking systems, trading platforms, and third-party APIs.
• Optimize data workflows for performance, reliability, and cost-efficiency across hybrid cloud environments.
• Partner with cybersecurity and compliance teams to enforce data privacy, encryption, and access controls.
• Contribute to the development of enterprise-wide AI data architecture standards and governance frameworks.
• Assist in developing end-user training to upskill analysts on approved open-source data analysis tools.
• Direct governance and data management of AI initiatives, ensuring secure and efficient data consumption.
• Provide indirect leadership across lateral teams of data analysts focused on improving data accountability, access control, and user enablement.
• Mentor and coach senior, mid-level and junior engineers, product managers and architects.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 10+ years of experience in data engineering or integration, preferably in financial services or banking.
• Strong proficiency in Python, SQL, and data integration tools (SQL, Pyspark, cloud platforms such as Azure, AWS, GCP) and financial data services (Bloomberg, Refinitiv).
• Familiarity with AI/ML frameworks and AI concepts.
• Deep understanding of data governance,…