Product Owner

Company Description : Valenshi Global AB is dedicated to guiding organizations into the AI era with best-in-class solutions and consultation services. The company focuses on innovation, expert guidance, and exceptional customer service to help clients build superior, AI-enabled products and processes. Valenshi Global AB strives to set industry standards in AI-driven transformation and customer satisfaction. Through a relentless pursuit of excellence, the company aims to be the preferred partner for organizations seeking to leverage AI technologies. Role Description : This full-time Senior Product Owner role is based in Malmö, Sweden, with a hybrid work arrangement that combines on-site collaboration and work-from-home flexibility. We are seeking a Digital Product Owner — Marketing Audience Management to lead the development, configuration and rollout of audience segmentation in Adobe Experience Platform (AEP). This role will translate marketing goals into production-ready audience models and enable activation across channels in collaboration with our Commercial Marketing teams Lead the end-to-end audience segmentation product: design reusable segment taxonomies, define XDM schemas and identity strategies, and ensure reliable data ingestion and activation paths. Responsibility : · Set the vision, strategy and metrics to deliver assigned complex products within a larger portfolio.· Plan and organise the work related to the assigned products in the portfolio, including managing dependencies.· Manage time, cost, scope, risk, communication, quality and change.· Lead and empower teams to deliver maximum value to the user with measurable impact. Qualifications : · Proven Product Owner experience (5+ years) with responsibility for audience, segmentation or CDP products in a marketing context.· Hands-on experience with Adobe Experience Platform: XDM schema design, Identity, Segment Builder, Query Service/SQL, and audience activation to Adobe Target, Campaign, Journey Optimizer or third-party endpoints.· A reusable audience segmentation framework implemented in AEP with documented XDM schemas, identity approach and governance.· Solid understanding of customer data architecture: ingestion pipelines, identity stitching, consent/PII handling and data governance.· Strong stakeholder management, excellent communication, and experience running UAT and adoption programs with marketing teams.· Experience operationalizing machine-learning segments (propensity, lookalike) and partnering with data science teams. We are continuously reviewing the candidates and please share your resume at the earliest.