Northern Trust · 2 weeks ago
Artificial Intelligence Data Integration Specialist
Chicago, IL
Full-time
Onsite
Senior Level, Lead/Staff
$137K/yr - $234K/yr
10+ years expNorthern Trust is a globally recognized financial institution providing innovative financial services. The AI Data Integration Specialist will lead the design and implementation of secure data integration solutions that support AI and machine learning initiatives across the bank.
BankingFinanceFinancial ServicesWealth Management
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
Qualification
Required
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, 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
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
Benefits
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
Other voluntary and well-being benefits
Discretionary bonus program that may include an equity component
Company
Northern Trust
Northern Trust is a global leader in delivering innovative investment management, asset and fund administration, fiduciary and banking.
10001+ employees
H1B Sponsorship
Northern Trust has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (180)
2024 (203)
2023 (102)
2022 (74)
2021 (298)
2020 (83)
Funding
Current Stage
Public CompanyTotal Funding
$1.25B2025-11-20Post Ipo Debt· $1.25B
1978-01-13IPO
Leadership Team
Michael O'Grady
President, Chief Executive Officer & Director
Peter Cherecwich
Chief Operating Officer
Recent News
Business Wire
2025-12-18
2025-12-11
Company data provided by crunchbase