SENIOR GLOBAL MARKETING SCIENCE & AI MANAGER

We're on the lookout for individuals who are passionate about fashion, think outside the box, and have an eye for innovation.

Unleash your potential with us, and join us as we create joy and excitement in our global community to empower people to express themselves freely through fashion.

About the role

You will build and lead Marketing Science & AI for Charles & Keith: the function that tells us what works, why, and what to do next. You will turn media, consumer, retail and product data into clear decisions on where we invest, how we show up in store and online, and which products and designs win with our customer.

You will connect four disciplines — marketing measurement, consumer and competitive insight, omnichannel experience, and product and design analytics — into one view of the brand. You will also bring AI into how the global marketing team plans, measures and learns, so insight arrives faster and reaches every market. You will design the methods, do the analysis where it matters, and present recommendations to senior leadership.

Responsibilities

1. Holistic marketing activation measurement

Own the global measurement framework for brand and performance marketing across paid, owned, earned, retail and CRM channels.

Build and run marketing mix modelling (MMM) to size the contribution of each channel and market, and to guide budget allocation and scenario planning

Design and run incrementality and lift studies (geo tests, holdouts, brand lift, conversion lift, search lift, buzz lift) to validate what drives sales and brand health

Lead multi-touch attribution for digital journeys, and triangulate MMM, lift tests and attribution into one agreed "source of truth"

Set the KPIs and dashboards that global and regional teams use to judge campaigns, launches and collaborations

Turn results into clear budget and channel recommendations for the annual plan and in-flight optimisation

2. Consumer and competitive insights, analysis and strategic recommendations

Build a deep, data-backed understanding of our target customer: who she is, what she values, how she shops, and how this differs by market

Run the brand health and consumer research programme (brand tracking, segmentation, U&A, concept and campaign testing) with research partners

Monitor the competitive landscape — pricing, assortment, campaigns, channel moves and share of voice — across key markets

Combine first-party, social listening, search, market and research data into insight that points to action

Translate findings into strategic recommendations for brand positioning, campaigns, market entry and growth priorities, and present them to leadership

3. Omnichannel experience

Lead a global mystery shopping programme across stores, e-commerce and customer service, with a consistent scorecard by market

Assess whether our retail and digital experience delivers the brand promise and resonates with our target audience

Capture local nuances: adapt standards and research to each market's culture, shopping habits and service expectations while protecting a consistent global brand

Map end-to-end customer journeys across store, app, web and marketplaces to find friction and moments that matter

Link experience scores to commercial outcomes (conversion, basket size, repeat purchase, NPS) and prioritise fixes with Retail, E-commerce and Visual Merchandising teams

4. Product and design analytics

Measure whether our value proposition and product proposition resonate with our target audience, by category, price tier and market

Analyse sell-through, full-price sell-through, returns, reviews and search and social demand to show which products, designs and collections perform — and why

Run pre-launch design and concept testing to inform range building, pricing and hero product choices

Spot emerging trends and white-space opportunities, and feed them into the product and design calendar

Give Product, Design and Merchandising teams a regular, simple read of what is working and what to change

5. AI enablement for marketing

Define and deliver the AI roadmap for global marketing: use cases, tools, data needs and guardrails

Apply AI and machine learning to forecasting, audience segmentation, personalisation, creative testing and insight generation

Build AI-powered tools (for example, automated reporting, insight assistants, social and review analysis) that give every market faster self-serve answers

Partner with Data, Technology and Legal to ensure responsible, privacy-compliant use of data and AI

Raise AI and data literacy across the marketing team through training and playbooks

Requirements

Experience

8–12 years in marketing science, analytics, consumer insights or strategy, with at least 3 years leading projects or people

Proven hands-on experience with MMM, incrementality testing and multi-touch attribution, and with turning them into budget decisions

Experience in fashion, luxury, beauty, retail or consumer brands; omnichannel or multi-market experience is strongly preferred

Track record of running consumer research and mystery shopping or customer experience programmes with external agencies

Experience applying AI or machine learning to marketing problems

Skills

Strong statistics and econometrics; comfortable with with BI tools

Working knowledge of ad platforms, analytics and measurement tools (for example, Google, Meta, TikTok, GA4, Meridian or Robyn)

Ability to turn complex analysis into a clear story and a firm recommendation for senior, non-technical audiences

Commercial judgement and a real interest in fashion, product and design

Cultural awareness and comfort working across Asia, the Middle East, Europe, the U.S. and other regions

Qualifications

Degree in statistics, economics, data science, business, marketing or a related field; a master's degree is a plus

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