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Product Owner

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Onsite

Product Owner

E-Solutions

Product Owner

Skills

SQL QueriesData EngineeringProduct ManagementData ScienceData AnalysisCRMAdobe Target

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

Malmö, Sweden

Work mode:

Onsite

Published on:

9 September 2026

What they need


Role: Product Owner

Type: Contract

Location: Malmo, SE

Key responsibilities include:

  • Define and communicate the product vision, strategy, roadmap, and success metrics for audience segmentation.
  • Lead the end-to-end audience segmentation product, including reusable segment taxonomies, XDM schemas, identity strategies, and reliable data ingestion and activation processes.
  • Build and maintain a prioritized product backlog, including user stories, acceptance criteria, features, and integrations.
  • Collaborate with Marketing, CRM, Analytics, Data Engineering, Privacy, Legal, platform teams, and external technology partners.
  • Design, configure, and validate XDM schemas, identity namespaces and identity graphs, segment definitions, and Query Service/SQL-based segmentation processes within AEP.
  • Establish appropriate data governance, consent management, PII minimization, monitoring, and quality controls.
  • Define test strategies and lead UAT to validate segment membership, inclusion/exclusion logic, identity stitching, and activation reliability.
  • Drive product rollout and adoption through documentation, enablement sessions, governance processes, and segment naming conventions.
  • Monitor and optimize segmentation performance using KPIs such as audience coverage, match rates, activation latency, and campaign impact.
  • Enable marketing and analytics teams to create, validate, and activate audiences for personalization and campaign targeting.
  • Continuously improve audience coverage, accuracy, usability, and governance.

Day-to-Day Responsibilities

  • Define the vision, strategy, roadmap, and measurable outcomes for assigned products within a broader portfolio.
  • Plan and organize product-related activities, including dependencies and cross-functional coordination.
  • Manage scope, timelines, costs, risks, communication, quality, and changes.
  • Lead and empower cross-functional teams to deliver maximum user value and measurable business impact.
  • Build strong relationships with stakeholders and maintain effective communication across business and technology teams.

Requirements

Desired Knowledge, Experience, Competencies, and Skills

  • Proven Product Owner experience, preferably with audience management, segmentation, Customer Data Platform (CDP), or marketing technology products.
  • Hands-on experience with Adobe Experience Platform, including:
  • XDM schema design
  • Identity Service and identity management
  • Segment Builder
  • Query Service and SQL
  • Audience activation to Adobe Target, Campaign, Journey Optimizer, or third-party endpoints
  • Strong understanding of customer data architecture, including data ingestion pipelines, identity stitching, consent management, PII handling, and data governance.
  • Strong stakeholder-management and communication skills.
  • Experience working with marketing and analytics teams and leading UAT and product adoption initiatives.
  • Strong understanding of product management practices, backlog prioritization, requirements definition, and agile delivery.

Desirable

  • Experience operationalizing machine-learning-based audience segments, such as propensity and lookalike models.
  • Experience partnering with data science teams to translate analytical models into production-ready audience segments.
  1. Reusable audience segmentation framework: A scalable segmentation framework implemented in AEP, supported by well-documented XDM schemas, identity strategies, governance, and operating processes.
  2. Production-ready audience activation: Validated segments successfully activated across relevant channel systems and adopted by marketing teams for personalization and campaign targeting.
  3. Measurable business impact: Demonstrable improvements in targeting accuracy, audience match rates, campaign performance, or other agreed segmentation KPIs.

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