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 worlds 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 22000 partners we serve the worlds 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 NTs 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
- Bachelors or Masters 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 GCP) 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:
$137400 - 233600 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.
Wed love to learn more about how your interests and experience could be a fit with one of the worlds most admired and sustainable companies! Build your career with us andapply 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 youre 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.