Product Manager III - Field Data

Northwestern Mutual • Milwaukee, WI

10d • $108,160 - $162,240 • Hybrid

About The Position

The Product Manager III owns field-data product areas that support stable, trusted, and modern data and analytics capabilities. The role leads product strategy, roadmap prioritization, backlog health, stakeholder alignment, requirements definition, and delivery coordination across platform modernization, data platform migration, data governance, security and audit remediation, and data consumer enablement. The Product Manager partners across business, engineering, data, security, and platform teams to turn ambiguous modernization and operational needs into clear product outcomes, prepare work for upcoming planning cycles, and advance goals tied to data transparency, trusted data products, delivery productivity, quality, and field-data modernization.

The position works with engineers, designers, data scientists, financial experts, and other stakeholders to analyze product features and inform product vision. It requires balancing business value, technical feasibility, delivery capacity, dependencies, and risks while supporting operational stability and improving data consumer experiences.

Requirements

• 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 and translating business and technical needs into 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, including managing dependencies, delivery risks, blockers, and tradeoffs across product, engineering, data, architecture, security, audit, reporting, and business stakeholder groups.
• Ability to operate through ambiguity, analyze complex problems, and translate technical work into practical product decisions that balance business value, technical feasibility, and delivery capacity.
• Working knowledge of agile delivery practices, quarterly planning, stakeholder-facing roadmap and status communication, escalation messaging, data quality, data governance, operational stability, and audit remediation.

Nice To Haves

• Familiarity with data and analytics ecosystems such as Databricks, Data Mesh, data catalogs, BI and reporting tools, platform migration patterns, operational monitoring, or financial services data domains.
• Skills in cross-functional partnering and planning, stakeholder relationship management, product roadmaps, business acumen, user stories, and customer centricity.

Responsibilities

• Own product direction for field-data and data platform workstreams, aligning product vision, roadmap priorities, and delivery outcomes with platform readiness, data-product maturity, and modernization goals.
• Develop and maintain roadmaps for platform migration, data modernization, governance, and operational capabilities, sequencing work based on business value, commitments, dependencies, and risks.
• Translate modernization, governance, security, data quality, and consumer enablement needs into features, user stories, acceptance criteria, test expectations, and planning-ready backlog items.
• Partner with engineering, data platform, architecture, security, audit, reporting, and business stakeholders to clarify scope, resolve dependencies, communicate tradeoffs, and advance cross-team work.
• Prioritize the backlog, prepare work for planning cycles and sprints, track risks and blockers, and ensure commitments are visible, realistic, and aligned with business outcomes.
• Support operational stability and quality through collaboration on testing readiness, monitoring, defect prevention, vulnerability remediation, and audit follow-through.
• Use data, platform metrics, stakeholder feedback, and delivery health indicators to identify opportunities for process improvement, automation, standardization, and improved data consumer experiences.
• Facilitate agile ceremonies, roadmap reviews, dependency discussions, and status communications to communicate progress, decisions, risks, and next steps.

What This Job Offers

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