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About the Role
Shape digital, data and AI-enabled products that turn WGSN's expertise and proprietary data into indispensable tools for clients.
Responsibilities
- Own the vision, strategy and roadmap for a high-impact product area, aligned with WGSN's wider product and business strategy.
- Make thoughtful prioritisation decisions using client evidence, product data, commercial value, strategic fit and delivery effort.
- Define success measures and actively manage product performance after launch, not simply delivery against a roadmap.
- Build a deep understanding of our clients, users, jobs to be done and processes.
- Lead continuous discovery through client interviews, workflow observation, prototype testing, usage analysis and close partnership with commercial and client success teams.
- Represent the client perspective while balancing user value, commercial impact, strategic advantage and technical feasibility.
- Turn complex content and data into intuitive, trustworthy product experiences that help clients reach decisions and take action.
- Work with data, engineering, design and subject-matter experts to define product requirements, data dependencies, quality standards and user experience.
- Identify where AI, natural-language interfaces, automation, APIs or workflow integrations can create client value, and where simpler solutions are more appropriate.
- Lead a cross-functional product team through discovery, definition, delivery, launch and iteration.
- Set a clear product narrative, make decisions promptly and ensure teams understand the problem, intended outcome and relevant trade-offs.
- Build quality into the product lifecycle through acceptance criteria, data validation, instrumentation, feedback loops and post-launch monitoring.
- Partner with product marketing, sales and client success to define positioning, packaging, launch plans, enablement and adoption activity.
- Equip commercial teams to explain the client problem, differentiated value and evidence behind the product.
- Monitor adoption, engagement, satisfaction, retention and commercial performance; use the evidence to guide iteration and investment.
- Create alignment across senior stakeholders with different perspectives, incentives and areas of expertise.
- Communicate complex topics clearly, including the evidence, choices, risks and rationale behind product decisions.
- Contribute to stronger product practice across WGSN through coaching, constructive challenge and practical improvements to how teams work.
Requirements
- Strong product management experience, including ownership of a meaningful product area from strategy through launch and optimisation.
- A track record of building successful B2B and B2C digital products; experience with subscription, data, insights, SaaS or workflow products is particularly relevant.
- Evidence of solving complex client problems and translating ambiguity into a clear strategy, roadmap and delivery plan.
- Excellent discovery skills and the ability to synthesize qualitative insight, behavioural data and commercial evidence.
- Strong analytical judgement, including defining metrics, interpreting product performance and making evidence-based trade-offs.
- The ability to work credibly with engineering, data and design teams, including on technically or data-intensive products.
- Commercial understanding: you can connect product choices to differentiation, adoption, retention, expansion and revenue.
- Clear, concise communication and the confidence to influence senior stakeholders.
- Experience with AI-enabled products, search, recommendations, natural-language interfaces or generative AI.
- Experience with structured data products, APIs, data models, analytics platforms or workflow integrations.
- Experience within fashion, beauty, retail, consumer intelligence, forecasting, research or another expert-content environment.
Skills
- Product Management
- B2B Digital Products
- B2C Digital Products
- Subscription Products
- Data Products
- Insights Products
- SaaS Products
- Workflow Products
- Client Problem Solving
- Strategy Development
- Roadmap Planning
- Delivery Planning
- Discovery Skills
- Qualitative Insight Synthesis
- Behavioral Data Analysis
- Commercial Evidence Analysis
- Analytical Judgement
- Metrics Definition
- Product Performance Interpretation
- Evidence-Based Trade-offs
- Collaboration with Engineering
- Collaboration with Data Teams
- Collaboration with Design Teams
- Technical Product Development
- Data-Intensive Product Development
- Commercial Acumen
- Communication
- Stakeholder Influence
- AI-Enabled Products
- Search Technology
- Recommendation Engines
- Natural Language Interfaces
- Generative AI
- Structured Data Products
- APIs
- Data Models
- Analytics Platforms
- Workflow Integrations
- Fashion Industry
- Beauty Industry
- Retail Industry
- Consumer Intelligence
- Forecasting
- Research
- Expert Content
Location
- London, UK
Work Type
- On-site
- Hybrid
- Agile Working
Experience Level
- Senior
Benefits
- 25 days of holiday per year (option to buy/sell up to 5 days)
- Pension
- Life Assurance
- Income Protection
- Flexible benefits platform
- Private Medical Insurance
- Dental Insurance
- Critical Illness Insurance
- Employee assistance programme
- Season ticket loans
- Cycle to work scheme
- Volunteering opportunities
- Charitable giving options
- Learning and development opportunities
About the Company
- WGSN is the global authority on consumer trend forecasting.
- We help brands around the world create the right products at the right time for tomorrow’s consumer.
- Our values: We Are Everywhere, We Are Future Focused, We Are Rigorous.
- An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive.
- We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with.
- We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030.
- Recognising great performance is a key part of our culture.
- We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements.
- Conversations about flexible working have always been—and will continue to be—actively encouraged here, but we do not offer full remote working.
- We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you.
- We use AI to help our team screen applications and identify candidates whose skills and experience match the role. This technology removes personal information to promote a fair and unbiased process.