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 the Northwestern Mutual Data Science Institute and structured internal programs (conferences, hackathons, training) that enable ongoing upskilling across analytics, data science, and platform practices. Materials also highlight certifications, rotations, and clear pathways that translate the NMDSI partnership into day‑to‑day growth for D&A staff.
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Mission & Purpose: Work is anchored in client trust, privacy, and governance, directly supporting financial planning, underwriting/risk, and customer experience. D&A is portrayed as purpose‑driven and central to the company’s long‑term mission rather than a back‑office function.
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Innovation & Products: Applied AI and a data‑as‑product mindset appear in building predictive models, fine‑tuning LLMs, and standardizing reusable data products on a modern, cloud‑native platform. Efforts like a semantic layer and a Data Foundation Playbook indicate productized analytics tied to business activation.
Recently posted jobs
20 Hours AgoSaved
Fintech • Insurance • Financial Services
Manage research intake and workflows in Jira, enforce sharing and archival standards in SharePoint/Research Hub, leverage AI for tagging and discoverability, prevent redundant research, produce quarterly insight digests, standardize naming and folder structures, and support quantitative and qualitative analysis while managing budgets and vendors.
Fintech • Insurance • Financial Services
Lead deployment and support of z/OS Db2 infrastructure, perform performance tuning, upgrades, DR and recoverability, automate systems engineering tasks, manage Db2 logs and parameters, troubleshoot incidents, and enforce database standards across teams.
2 Days AgoSaved
Fintech • Insurance • Financial Services
Lead records and information management, transparency/consent, and privacy incident response programs. Advise the CPO and stakeholders on privacy strategy, embed privacy controls into products and processes, manage a team, develop policies and roadmaps, partner with legal and IT, and monitor compliance with privacy laws while enabling responsible data use to drive business outcomes.
