Principal Product Manager - Data Platforms
Listed on 2026-08-13
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Business
Business Systems & Technology Analysis, AI Business & Operations -
IT/Tech
Business Systems & Technology Analysis, AI Business & Operations, IT Business Analyst
Principal Product Manager
The pay range is $ - $. Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.
Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond.
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture.
About This Role:
The 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…
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