Product Manager AIAD

Overview

In this Product Manager role, you lead the data & insights product strategy for COS globally within the AIAD team. You guide three product squads spanning marketing, digital/web, and customer analytics, shaping roadmaps and prioritizing features to unlock omnichannel insights and marketing performance. You combine strategic vision with hands-on analytics leadership to solve customer journey, attribution, and digital optimization challenges. You’ll work with cross-functional partners to deliver impact while staying ahead on data and AI advancements.

Pay / Benefits

• staff discount for H&M Group brands
• HIP incentive program
• up to 20 days holiday
• pension scheme
• cycle to work
• private health & dental care

Responsibilities

• Define strategic vision, direction, and roadmap for data & insights products aligned with business goals
• Gather requirements with cross-functional teams, prioritize features, and ensure timely delivery
• Set high-level KPIs/OKRs and maintain a data-driven environment
• Apply agile practices to enable iterative product development
• Address a broad set of business challenges across marketing, sales, merch, purchasing, logistics, and controlling
• Serve as SME on customer journey analytics, e-commerce analytics, and digital marketing performance including attribution models
• Stay informed on data management, analytics, and AI trends and assess their impact to COS

Key requirements

• Several years of experience as Data Analyst, Product/Business Analyst, or Controller with leadership in data analytics products/projects
• Hands-on Product/Project Manager experience in data analysis or related areas
• Knowledge of lean-agile development and product roadmap creation
• Ability to define scope, roadmap, and KPIs from ideation to release
• Strong capability to translate business needs into backlog items and drive impact
• Clear communication of data insights to non-technical and senior stakeholders
• Fluency in English
• Collaborative mindset and problem-solving orientation

• strong communication
• collaboration
• problem solving
• data analytics
• data management
• customer journey analytics

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