Data Platform PM: Modernization & Governance

Northwestern Mutual Investment Services, LLC

Milwaukee (WI)

Hybrid

USD 108,000 - 162,000

Full time

4 days ago

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Job summary

Northwestern Mutual Investment Services, LLC is seeking a product leader to own field-data and data platform workstreams, aligning vision with roadmaps, delivery outcomes, and modernization goals. You’ll collaborate across engineering, data, security, audit, and business stakeholders to drive platform migration, data quality, and governance initiatives in an agile environment.

You will translate complex needs into features, user stories, acceptance criteria, and planning-ready backlog items,

Qualifications

Bachelor's degree or equivalent practical experience in product management, business analysis, data platforms, analytics, technology delivery, or a related field.
2-4 years of experience in product management, product ownership, business analysis, or technology delivery, preferably supporting data, analytics, reporting, platform, or modernization initiatives.
Experience owning or contributing to product roadmaps for data, analytics, platform, or modernization workstreams, translating business and technical needs into clear product outcomes and priorities.
Demonstrated experience with backlog management, feature definition, story writing, acceptance criteria, prioritization, and planning readiness.
Strong cross-functional communication and coordination skills, with the ability to manage dependencies, delivery risks, blockers, and tradeoffs across product, engineering, data, architecture, security, audit, reporting, and business stakeholder groups.

Responsibilities

Own product direction for field-data and data platform workstreams, aligning product vision, roadmap priorities, and delivery outcomes to platform readiness, data-product maturity, and modernization goals.
Develop and maintain product roadmaps for platform migration, data modernization, governance, and operational capabilities, using business value, delivery commitments, dependencies, and risks to guide sequencing.
Translate modernization, governance, security, data quality, and consumer enablement needs into clear features, user stories, acceptance criteria, test expectations, and planning-ready backlog items.
Partner across engineering, data platform, architecture, security, audit, reporting, and business stakeholder groups to clarify scope, resolve dependencies, communicate tradeoffs, and move cross-team work forward.
Maintain healthy delivery execution by prioritizing the backlog, preparing work for upcoming planning cycles and sprints, tracking risks and blockers, and ensuring commitments are visible, realistic, and aligned to business outcomes.
Support operational stability and quality by partnering with teams on testing readiness, monitoring, defect prevention, vulnerability remediation, and audit-related follow-through.
Use data, platform metrics, stakeholder feedback, and delivery health indicators to identify opportunities for process improvement, automation, standardization, and better data consumer experiences.
Facilitate agile ceremonies, roadmap reviews, dependency discussions, and status communications so business and technology partners understand progress, decisions, risks, and next steps.