Product Manager – Digital Measurement

TargetBrooklyn Park, MN
$88,000 - $158,000Hybrid

About The Position

The Digital Strategy & Platform team at Target is focused on continuously improving and innovating the digital shopping experience. This team collaborates to create and implement digital strategies that enhance the online experience through personalization, simplicity, and intuitiveness, aiming to complement the in-store shopping experience with a convenient and reliable digital offering. Product Teams at Target are responsible for delivering business outcomes through technology and analytic products that are easy to use, maintain, and reliable. The Digital Data Product team, specifically, works to evolve Target's digital measurement ecosystem, including standards, tagging, metadata, behavioral context, and governance, to make digital decisions faster and more trustworthy. This role involves translating measurement needs into clear tagging requirements, taxonomy standards, QA practices, adoption metrics, and backlog priorities across various digital measurement platforms like Adobe Analytics, Customer Journey Analytics, Claravine, and Fullstory. It's a hands-on role focused on owning a defined area of the digital measurement product ecosystem, connecting various practices across different tools. The role balances practical delivery with product discovery, stakeholder partnership, and contributes to evolving Target's measurement capabilities towards reusable, governed, self-service models. The Product Manager will work within the product model, collaborating with their team and stakeholders to define objectives and outcomes, build product knowledge through discovery and feedback, and prioritize a backlog for improvements in measurement consistency, taxonomy adoption, behavioral insight activation, and self-service enablement. Success will be measured by improvements in tagging quality, metadata completeness, taxonomy adoption, measurement defect resolution time, self-service usage, stakeholder confidence, and the ability to translate behavioral insights into product improvements.

Requirements

  • Four-year degree or equivalent experience
  • 4+ years product management experience in digital analytics, digital tagging, marketing technology, data governance, analytics product management, product analytics, measurement operations or a closely related area
  • Working knowledge of digital analytics, behavioral analytics, event instrumentation, data layers, taxonomy, metadata or tagging QA concepts
  • Ability to translate business questions into measurement requirements, event definitions, metadata needs, taxonomy updates, QA criteria and product backlog items
  • Ability to independently manage recurring work, prioritize across stakeholders and communicate risks, trade-offs and next steps while knowing when to escalate for guidance
  • Comfort investigating data-quality issues, partnering with technical teams, documenting root cause and communicating trade-offs to business stakeholders
  • Familiarity with agile ways of working and product discovery; comfortable maintaining a backlog, writing acceptance criteria and delivering incremental improvements
  • Basic technical fluency with SQL, data tables, browser debugging, tagging QA tools, APIs, Python or comparable analysis and debugging methods
  • Strong written and verbal communication skills, including the ability to explain technical measurement, taxonomy and behavioral analytics concepts to non-technical partners
  • Curiosity, ownership and a continuous-improvement mindset; interest in building scalable standards, reusable measurement patterns and self-service practices rather than only completing tickets

Nice To Haves

  • Experience with Claravine, Fullstory, Adobe Analytics, Customer Journey Analytics, tag management systems or similar platforms
  • Experience with taxonomy management, campaign metadata, digital experience analytics, session replay, funnels, experimentation, personalization, ecommerce analytics or app/web analytics
  • Experience creating playbooks, dashboards, QA checklists, training materials, adoption reporting or automation that reduce manual effort and improve consistency
  • Exposure to privacy, consent, masking, access controls, data lineage, semantic definitions, data cataloging or AI-ready metadata practices
  • Interest in helping a team evolve towards governed, reusable and self-service digital measurement capabilities

Responsibilities

  • Maintain and refine a product backlog for a defined digital measurement product area, including user stories, acceptance criteria, prioritization rationale and clear outcomes for tagging, taxonomy, Claravine, Fullstory and measurement operations.
  • Support and improve Claravine workflows, including taxonomy structures, naming conventions, metadata templates, validation rules, approval flows and adoption reporting.
  • Partner with analytics and engineering teams to connect Claravine standards to Adobe Analytics and Customer Journey Analytics use cases, including tracking-code quality, campaign metadata, classification enrichment and reusable reporting dimensions.
  • Help evolve Fullstory from a diagnostic tool into a repeatable source of behavioral insight for product discovery, friction analysis, conversion troubleshooting and experience optimization.
  • Translate business and product questions into Fullstory use cases, including segments, funnels, journey analysis, session replay workflows, custom events, user properties and insight-to-action playbooks.
  • Partner with engineering, analytics and privacy teams to maintain responsible digital data capture practices, including data-layer mapping, tagging consistency, masking, consent and access considerations.
  • Translate business questions and marketing or product measurement needs into clear requirements that support reliable analytics, decision-making and product backlog prioritization.
  • Improve tagging governance, taxonomy documentation, lineage, QA routines and playbooks so teams can trust and reuse measurement data with less manual support.
  • Triage and resolve data issues by coordinating root cause analysis, clarifying business logic and communicating status, trade-offs and recommendations to technical and non-technical partners.
  • Enable self-service by creating clear documentation, standards, training materials and stakeholder communications that reduce repeated manual support and increase adoption of measurement capabilities.
  • Work iteratively in agile ways, delivering incremental improvements and using feedback loops to improve quality, usability, stakeholder adoption and operational efficiency.
  • Encourage the open exchange of information and viewpoints, as well as inspire others to achieve challenging goals and high standards of performance while committing to the organization's direction.
  • Foster sense of urgency to achieve goals and leverage resources to overcome unexpected obstacles.

Benefits

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