Artificial Intelligence Data Integration Specialist

About Northern Trust:

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.

Job Description

Role Overview

As a key member of our AI Engineering team, the AI Data Integration Lead 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

• Develop and oversee an enterprise wide approach to integrate structured data, unstructured data, into NT's enterprise AI framework in concert with the AI architecture, AI engineering and data platform engineering teams.
• Develop and lead the practice of data pipeline engineering and rationalize over time custom data integrations to drive to common methods and approaches
• Lead development of a portfolio of client facing AI capabilities and integration methods to those that will be embedded into client front ends, interactive dashboards to ensure that client facing AI capabilities are well aligned and meet require 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 our sematic architecture and engineering approach for Northern Trust intelligence to drive enterprise context engineering and architecture disciplines.

• Collaborate with the AI consulting team, business, data scientists, model risk teams, and business units to understand data requirements for AI models supporting key use cases we will apply AI to such as credit risk, AML, KYC, and customer intelligence. Drive engineering specs and engineering to deliver these capabilities.

• Ensure data integration processes comply with all regulatory requirements (e.g., US FFIEC, BCBS 239, GDPR, CCAR, SR 11-7, etc.).

• Ensure sound practices are executed to delivery maintain metadata management, data lineage, and audit trails for AI data assets as develop teams and data teams drive more data to be accessed with AI.
• Provide leadership to multiple Technical Delivery teams to prioritize and refine critical data deliverables based on business use cases and high-value data assessments.
• Work closely with vendor negotiations and perform and guide data solutions with procurement and transformation to enable scalable consumption with favorable and appropriate terms and capabilities; including an understanding of support or vendor SLA requirements.

• Provide guidance for regulatory compliance processes, audits, and internal reviews.
• Act as End-to-End Data Integration Product Management Vision and Roadmap in support of 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 ensure data privacy, encryption, and access controls are enforced.

• Contribute to the development of enterprise-wide AI data architecture standards and governance frameworks.
• Assist in development of end-user training to upskill analysts on approved open-source data analysis tools, including Python, Spark, AWS, and Git.
• Direct governance and data management of AI related 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.

• Provide mentoring and coaching to senior, mid-level and junior engineers, product managers and architects. Function as a team lead as required as we startup and scale the AI and AI data integration practice.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or 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 (e.g., SQL, Pyspark, experience with cloud platforms (Azure, AWS, Google Cloud Platform) and financial data services (e.g., Bloomberg, Refinitiv).

• Familiarity with AI/ML frameworks and AI concepts.

• Deep understanding of data governance, regulatory compliance, and risk management in banking.

• Excellent communication and stakeholder management skills.
• Understanding of following technologies:
  • Database Systems: SQL, Oracle, terradata, Snowflake, Data Bricks, etc..
  • Development Languages: Python , SAS, Visual Basic for Applications, Mainframe/JCL
  • Operating systems: Unix/BASH Shell, Windows + Mac + Linux OS, COBOL

Preferred Skills

• Knowledge of financial data domains (e.g., credit, market, operational risk).

• Familiarity with data lakehouse architectures and tools like Databricks, Snowflake, or Delta Lake.

• Exposure to generative AI and LLM data preparation for financial use cases.

• Understanding of semantic data integration and financial ontologies.

Salary Range:
$137,400 - 233,600 USD

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.

Working with Us:

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.

We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater

Reasonable accommodation

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at

We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.