Product Manager AIAD

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.
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

Employment type
Full-time

Work arrangement
Hybrid