Product Manager AIAD

COS; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Staff discount

HIP incentive program

Up to 20 days holiday

Annual health checks

Pension scheme

Benefits hub discounts

Cycle to work

Discounted gym membership

Employee assistance

Private health & dental care

Job summary

COS in London is seeking a Product Manager for the AI, Analytics and Data (AIAD) team to lead data, insights and CX/marketing analytics products across global COS.

You will define strategic roadmaps, work with data analysts, scientists and engineers, and guide analytics initiatives from ideation to delivery. The role is hybrid, primarily office-based with some remote days, and focuses on omnichannel analytics and marketing attribution.

Qualifications

• Experience leading data analytics product/projects.
• Lean-Agile development experience.
• Ability to translate data insights to non-technical stakeholders.

Responsibilities

• Define strategic vision and roadmap for data & insights.
• Prioritize features with stakeholders and ensure timely delivery.
• Define KPIs/OKRs and align with stakeholders.
• Lead agile product development practices.
• Collaborate across marketing, digital, and CX teams.
• Stay updated on data management and AI technologies.

Skills

Data analytics

Product management

Stakeholder management

Lean-Agile

Customer analytics

Communication

English fluency

Job description

COS offers a wardrobe of ready-to-wear and accessories rooted in exceptional quality and lasting design. The brand has an elevated aesthetic that embodies luxury with an emphasis on craftsmanship, innovation and compelling fashion movements.

Job Description

As a Product Manager within our COS AI, Analytics and Data (AIAD) team, you will play a pivotal role in driving the development, implementation, and management of data & insights products for global COS. You will work together with a diverse team comprising Data Analysts, Business Analysts, Data Scientists, AI and Data Engineers, closely engaging with key stakeholders to deliver high-quality AI, data & insights products for Global COS.

You will lead our Customer Experience (CX) and marketing analytics suite, which includes overseeing and driving the vision, delivery, and lifecycle of data & insights products across three dedicated product teams: marketing, digital/web, and customer analytics. This role carries a dynamic dual focus: acting as an empowered product leader who defines strategic roadmaps and priorities, while remaining sufficiently hands‑on and technically literate to guide complex analytical problem‑solving in areas such as omnichannel customer behaviour, marketing attribution (MTA/MMM), and digital product (mobile app and website) optimization.

What you will do

• Collaborate with stakeholders to define the strategic vision, direction, and roadmap for data & insights product development, aligning it with business goals and customer needs.
• Work closely with cross‑functional areas to identify data & insights product requirements, prioritize features, and ensure timely delivery.
• Define high‑level KPIs/OKRs and align them with the respective stakeholders, supporting a data‑driven environment.
• Follow agile methodologies and best practices to facilitate efficient and iterative product development.
• Work on a broad variety of business challenges with a wide range of business stakeholders (marketing, sales, merch, purchasing, logistics, controlling etc.).
• Act as the subject matter expert on customer journey analytics, e‑commerce web analytics, or digital marketing performance (attribution models such as MTA/MMM), paid media tracking, CRM analysis etc. business domain within the product team.
• Stay up to date with the latest advancements in data management, advanced analytics and AI technologies, and evaluate their potential impact on our organization.

Qualifications

• Proven several years of experience as either:
• • Data Analyst, Product/Business Analyst or Controller with formal/informal experience in leading data analytics product/projects.
  • Product/Project Manager with hands‑on experience in data analysis, product/business analysis or controlling.
• Functional knowledge of lean‑agile development and methodologies as well as product vision creation and product roadmap development
• Ability to build end‑to‑end product strategy, including definition of scope, roadmap, and KPIs, and understand product development from ideation to release.
• Capable of gathering, analysing, and understanding customer and business needs and understanding impact against product backlog and impact on team
• Able to clearly express the connections between larger business goals and small backlog items for team members.
• Have strong business sense and business interest with the ability of making sound interpretations of data and other information.
• Have excellent communication skills and are skilled in translating and explaining complex data analysis to non‑technical and/or senior stakeholders.
• Are prestige less and enjoy collaborating with others to solve problems.
• Are fluent in English.

Behaviours based on our values

• Delivery & Execution: Ability to produce high‑quality, accurate work, prioritise effectively and meet deadlines. You should also be able to demonstrate resilience under pressure.
• Problem Solving & Judgment: Ability to analyse issues logically, use data and evidence to guide decisions & anticipate and address issues before they arise.
• Communication: Able to communicate clearly in writing and verbally, you should be able to explain technical or complex points simply and keep stakeholders informed and updated.
• Collaboration: Abiloity to work constructively with other colleagues, share knowledge and support teammates. You should also be openminded and accept feedback professionally.
• Adaptable & Curious: You should be able to adjust to changing priorities, learns new tools and processes quickly and show curiosity and self‑development

Additional Information

This is a Full time permanent contract based at our Head Office in London.

We value collaboration and believe that great ideas thrive when we work closely together. Therefore, this role is primarily office‑based, with Three days per week at the office to foster teamwork and engagement. Two day per week, you’ll have the flexibility to work remotely.

Why you'll love working here

We offer all our employees attractive benefits with broad development opportunities. All our employees receive a staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here.

In addition to this UK‑based colleagues also receive

• Up to 20 days holiday
• Annual health checks
• Pension scheme
• Discounts on various activities and financial/lifestyle products via our benefits hub
• Cycle to work scheme
• Discounted gym membership
• Employee assistance via retail trust
• Private health & dental care

JOIN US

Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

To ensure we provide an insightful experience to our candidates, and we support their understanding of the role scope and responsibilities for this role, we use an online assessment method for skills‑based recruitment with our recruitment processes. You will need to complete it as part of the application and screening process. Your responses will be scored by an assessment tool that applies predefined criteria set by H&M Group.

After completing the assessment, you will receive feedback with the score you obtained. If you experience any difficulties or prefer an alternative assessment method, please contact [e-mail]. Choosing an alternative will not impact your application. For more information on how we process your personal data, please see our Privacy Notice.