Data Intelligence Engineer
Role details
Job location
Tech stack
Job description
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.
Key Responsibilities
Strategic Partnership
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.
Intelligence Solutions
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.
Collaboration
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.
Continuous Improvement
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.
Technical Experience
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
A strong understanding of modern data architecture, data governance, and scalable intelligence solutions is preferred.
Requirements
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., Increased adoption of reusable intelligence capabilities. Delivery of measurable business value through data-driven solutions. Reduced reliance on one-off reporting and custom analyses. Increased reuse of intelligence across analytics, applications, and AI. Improved advisor effectiveness, client experience, and operational efficiency. Delivery of trusted, scalable, and well-governed intelligence capabilities.
Benefits & conditions
Pulled from the full job description Parental leave 401(k) Health insurance Paid time off Vision insurance Dental insurance Caregiver leave, Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Salary Range: $99,600 - 169,200 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.