Northwestern Mutual
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Northwestern Mutual Data & Analytics Team
Our data and analytics teams help us gain a deeper understanding of our business. They dig into data, analyzing and drawing conclusions that ultimately connects our clients with the right tools and content they need.
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Data Excellence
Our data professionals are skilled in analysis, data science, and machine learning. We uncover insights, build predictive models, and fine-tune large language models (LLMs) to drive business innovation. We collaborate across departments to transform raw data into strategic assets, supporting investment strategies and enhancing customer experiences.
Our data teams leverage cutting-edge analytics to unlock insights that power smarter decisions
What People Are Saying About Northwestern Mutual
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Learning & Development: Teams benefit from sustained upskilling via the Northwestern Mutual Data Science Institute and internal programs such as conferences, hackathons, and structured training. Feedback suggests these channels create clear pathways for D&A professionals to deepen skills across analytics, data science, and platform practices.
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Innovation & Products: Teams operate on a modern, cloud‑native data platform with lineage/observability (OpenLineage/Marquez) and ship product‑oriented analytics tied to planning, underwriting, and client experiences. Feedback suggests applied AI work and a data‑as‑product mindset are common in D&A squads.
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Mission & Purpose: D&A work is anchored in client trust, privacy, and governance, directly supporting financial planning, risk, and customer experience. Feedback suggests this purpose provides clear line‑of‑sight from analytics to tangible outcomes.
Recently posted jobs
3 Hours AgoSaved
Fintech • Insurance • Financial Services
Provide customer service and operational support for contracts, licensing, registrations, terminations, and related inquiries. Handle phone and queue work, escalate complex issues, follow standard procedures, support teammates, and maintain accurate documentation while meeting service and quality standards.
Fintech • Insurance • Financial Services
Provide production support and configuration for Workday modules (Core HCM, Talent, Performance, Learning, Recruiting). Triage incidents, perform configuration changes and data loads (EIBs), assist with testing, releases, and project tasks, and collaborate with stakeholders to translate business needs into system solutions and improvements.
Fintech • Insurance • Financial Services
Lead technical direction and delivery for Public Investments engineering across front-end, backend, and data platforms. Manage engineers, define architectures, enforce engineering standards (CI/CD, testing, observability), drive API and data integration quality, improve data warehouse reliability, and support production stability through incident response and preventative improvements. Collaborate with product, enterprise architecture, and stakeholders to align roadmaps and deliver secure, scalable solutions.
