Principal Product Manager - Data Platforms

Target • Brooklyn Park, MN

3d • $149,000 - $268,000 • Hybrid

About The Position

The Enterprise Data Platform team has a unique role in powering the enterprise’s data strategy, including data ingestion, governed data products, analytics, and AI. As a Principal Product Manager focused on our modern Data Platform, you will be responsible for setting and evolving the enterprise vision, strategy, and multi-year direction for the modern data ecosystem, translating enterprise and tech priorities into an integrated data platform strategy and investment roadmap. This includes ensuring the platform provides the trusted, scalable, and governed foundation required for the enterprise’s AI and agentic strategies. You will serve as a strategic advisor to senior leaders, framing platform opportunities, investment choices, enterprise dependencies, and key trade-offs to enable informed decision-making and orchestrate large-scale initiatives spanning numerous upstream and downstream teams. You will partner with capability Product Managers to shape an integrated platform portfolio, resolve cross-product priorities and trade-offs, and ensure individual strategies and roadmaps collectively advance quarterly, annual, and multi-year platform outcomes. As you drive enterprise platform outcomes, you will: Own the holistic modern data platform strategy and multi-year direction, translating enterprise priorities into an integrated investment roadmap and securing alignment across senior leaders, platform teams, and key stakeholders. Represent the platform strategy with senior executives and enterprise stakeholders, clearly communicating progress, strategic choices, risks, dependencies, investment needs, and expected business outcomes through written narratives and executive forums. Define and maintain platform-level measures of success, connecting platform investments to adoption, reliability, developer and user experience, cost efficiency, speed to insight, data trust, and enterprise business value. Lead continuous discovery across platform consumers, business stakeholders, engineering partners, and the external market to identify enterprise needs, validate strategic assumptions, and shape platform outcomes and investment priorities. Orchestrate cross-functional strategy and roadmap alignment across platform teams and critical enterprise partners, including infrastructure, security, architecture, governance, and AI, resolving competing priorities and complex dependencies when needed. Establish trusted strategic partnerships with leaders across data product management, data governance, data engineering, data science, analytics, architecture, and AI to shape shared priorities and drive enterprise-wide outcomes. Mentor and coach Product Managers across the platform, raising the quality of product strategy, discovery, prioritization, outcome definition, and executive communication while helping individuals maximize their impact. Maintain an informed perspective on the evolving data, analytics, AI, and agentic technology landscape; engage internal and external experts; and translate relevant developments into strategic recommendations, investment decisions, and adjustments to the platform strategy. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

Requirements

• Four-year degree or equivalent experience
• 10+ years of product management experience, or equivalent strategic leadership experience in platform engineering, infrastructure, site reliability engineering, or data platforms
• Demonstrated experience advising and influencing Senior Director, VP, or comparable executive-level stakeholders on strategy, investments, priorities, and trade-offs.
• Proven experience shaping enterprise technology strategy or leading transformation across multiple products, capabilities, or teams within a complex enterprise environment.
• Demonstrated ability to influence without direct authority and align diverse stakeholders
• Proven track record of building strong relationships with platform consumers, engineering teams, and senior leaders
• Experience developing enterprise platform strategies that balance user needs, technical sustainability, security, governance, cost, and business value.
• Experience evaluating build, buy, partner, and modernization decisions for enterprise data or technology platforms.
• Experience defining and translating platform capabilities into enterprise outcomes and impact measures, including platform adoption, value, reliability, cost-efficiency, and developer-experience.
• Working knowledge of data platforms, including tools for data engineering, data governance, analytics and AI tools.
• Understanding of cloud-native data platforms (Google Cloud, Microsoft Azure, AWS, Snowflake, Databricks), distributed data systems, analytics best practices, data engineering best practices, and data management/governance best practices
• Familiarity with cost management, capacity planning, and operational excellence practices in large-scale data environments
• Experience or demonstrated aptitude with AI and agentic systems, especially as it applies to data, analysis and insights
• Strong ability to work in an agile, collaborative and matrixed environment
• Excellent verbal and written communication skills

Responsibilities

• Own the holistic modern data platform strategy and multi-year direction, translating enterprise priorities into an integrated investment roadmap and securing alignment across senior leaders, platform teams, and key stakeholders.
• Represent the platform strategy with senior executives and enterprise stakeholders, clearly communicating progress, strategic choices, risks, dependencies, investment needs, and expected business outcomes through written narratives and executive forums.
• Define and maintain platform-level measures of success, connecting platform investments to adoption, reliability, developer and user experience, cost efficiency, speed to insight, data trust, and enterprise business value.
• Lead continuous discovery across platform consumers, business stakeholders, engineering partners, and the external market to identify enterprise needs, validate strategic assumptions, and shape platform outcomes and investment priorities.
• Orchestrate cross-functional strategy and roadmap alignment across platform teams and critical enterprise partners, including infrastructure, security, architecture, governance, and AI, resolving competing priorities and complex dependencies when needed.
• Establish trusted strategic partnerships with leaders across data product management, data governance, data engineering, data science, analytics, architecture, and AI to shape shared priorities and drive enterprise-wide outcomes.
• Mentor and coach Product Managers across the platform, raising the quality of product strategy, discovery, prioritization, outcome definition, and executive communication while helping individuals maximize their impact.
• Maintain an informed perspective on the evolving data, analytics, AI, and agentic technology landscape; engage internal and external experts; and translate relevant developments into strategic recommendations, investment decisions, and adjustments to the platform strategy.

Benefits

• Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Associate degree