Data Intelligence Engineer

Northern Trust • Chicago, IL

2d

About The Position

Data Intelligence is responsible for transforming Wealth Management data into actionable intelligence that improves advisor effectiveness, client service, operational efficiency, and business decision-making. Working closely with business and technology partners, this role identifies opportunities where data can drive measurable outcomes and develops reusable intelligence capabilities that can be leveraged across analytics, applications, and AI. The successful candidate embraces a data-as-a-product mindset, building scalable, trusted, and well-governed intelligence solutions that deliver long-term value.

Requirements

• Experience designing and delivering modern cloud-based data and intelligence solutions using technologies such as: Microsoft Azure and cloud-native architectures
• Databricks Lakehouse Platform, Delta Lake, and Unity Catalog
• GraphQL (Apollo Federation), REST APIs, and API-first integration patterns
• Azure Cosmos DB, Redis, Neo4j, and relational databases
• Streaming data and modern integration patterns
• AI, machine learning, predictive analytics, and recommendation engines
• DevOps and CI/CD practices
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent experience.
• Experience leading the delivery of modern data, analytics, or intelligence solutions in a cloud environment.
• Strong understanding of data architecture, application integration, and modern engineering practices.
• Ability to translate business challenges into practical technology solutions.
• Experience collaborating across business, architecture, engineering, and delivery teams.
• Excellent communication, facilitation, and stakeholder management skills.
• Passion for building reusable capabilities that deliver measurable business value.

Nice To Haves

• A strong understanding of modern data architecture, data governance, and scalable intelligence solutions is preferred.

Responsibilities

• Partner with Wealth Management business and technology stakeholders to identify opportunities where data can improve business outcomes.
• Translate business needs into scalable intelligence capabilities.
• Develop and maintain a roadmap aligned with organizational priorities.
• Promote a reusable, sustainable approach to delivering intelligence.
• Design, build, and evolve intelligence capabilities that support business decision-making, including: Advisor and client opportunities, Operational insights, Relationship intelligence, Risk indicators, Alerts and event detection, Recommendation services, Predictive and AI-assisted insights, Executive and management dashboards.
• Example use cases include identifying client engagement opportunities, monitoring significant transactions, highlighting advisor coverage needs, detecting operational trends, and supporting Next Best Conversation recommendations.
• Partner with Core Data Products, Platform Engineering, Solution Engineering, Application Engineering, Data Science, and Enterprise Architecture to deliver integrated solutions.
• Ensure intelligence capabilities are built on trusted, governed data and can be consumed consistently across reporting, applications, and AI experiences.
• Foster collaboration between business and technical teams to maximize adoption and business value.
• Champion a data-as-a-product mindset by creating reusable intelligence assets rather than one-time analytical solutions.
• Continuously refine intelligence capabilities through user feedback, changing business priorities, and emerging technologies.
• Promote best practices for quality, governance, documentation, and operational excellence.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior