GLOBAL DIRECTOR, IP & INNOVATION – BRAND GUIDANCE
Kantar is the world’s leading AI-native marketing data and analytics business and an indispensable brand partner to the world’s top companies.
We combine meaningful attitudinal data, behavioural insights and advanced analytics to help organisations build stronger brands and grow. Our people bring expertise across research, data science, AI, technology and consulting, working together to shape the future of marketing and innovation.
About the job
This is a global leadership role at the centre of how Kantar evolves its Brand Guidance offer. You will shape how our intellectual property (IP), methodologies and analytical approaches translate into high-impact, scalable solutions used by clients around the world.
You will connect research expertise with product thinking and commercial outcomes—ensuring our methodologies are not only robust, but also usable, differentiated and valuable. Working across product, data science, technology and client teams, you will play a key role in modernising brand measurement, including integrating new data sources and AI-enabled approaches.
Job goals
- Shape and evolve Brand Guidance IP so it delivers clear commercial value and competitive differentiation
- Ensure research methodologies are embedded into scalable, product-led and technology-enabled solutions
- Improve the effectiveness of brand measurement by identifying gaps and enhancing how insights are generated and used
- Partner with product and commercial leaders to translate IP into market-ready offers and client value propositions
- Lead research-on-research initiatives to test, validate and strengthen methodologies and frameworks
- Influence how AI, data and analytics are integrated into brand guidance to improve quality, speed and relevance
- Build strong connections across global teams to ensure consistent application and continuous improvement of IP
Role responsibilities
IP, Product & Commercial Integration
- Shape the evolution of Brand Guidance IP, ensuring it supports product development and commercial growth
- Work closely with product and technology teams to embed methodologies into scalable, repeatable solutions
- Contribute to defining how IP is positioned, packaged and taken to market
Research & Analytical Leadership
- Guide end-to-end research design, from measurement frameworks to analytical approach
- Ensure the right methodologies are applied to answer real business questions
- Provide expertise across advanced analytics and brand measurement techniques
Innovation & Continuous Improvement
- Identify where methodologies are not delivering expected insight or impact and improve them
- Lead initiatives to test new approaches, including AI-enabled and alternative data-driven methods
- Ensure IP evolves through real-world application, learning and refinement
Synthesis & Problem Solving
- Translate complex research, data and business inputs into clear, actionable solutions
- Connect methodological detail with broader strategic and commercial implications
- Identify opportunities to strengthen IP and extend its application
Collaboration & Influence
- Work across product, data science, AI and client teams to align on methodology and application
- Encourage adoption of improved approaches across global teams
- Provide clear guidance that helps teams apply methodologies consistently and effectively
Thought Leadership & Communication
- Articulate how Kantar’s brand methodologies work and why they matter
- Support development of internal and external narratives that demonstrate impact and innovation
- Represent Kantar’s thinking in brand measurement, research and marketing effectiveness
Ideal skills
- Deep expertise in market research, brand tracking and measurement, with strong analytical capability
- Experience working at the intersection of research, product and commercial teams
- Ability to translate complex methodologies into simple, practical solutions
- Strong problem-solving and diagnostic skills, with a focus on improving outcomes
- Curious mindset with interest in new methods, data sources and AI-driven approaches
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