We are seeking a senior Product Lead – MarTech and Data to define and lead the strategy, delivery, and evolution of enterprise data and marketing technology capabilities. This role is accountable for building scalable, compliant, and high-impact data products that underpin omnichannel customer experiences across B2C and B2B channels.
Operating within a complex, multi-brand, MACH-based environment, the role owns customer, marketing, operational, and AI-enabled data platforms that support personalisation, experimentation, retail media, and commercial decision-making. The Product Lead will partner closely with Technology, Marketing, Analytics, Architecture and cross-functional leadership to ensure data and MarTech investments are aligned to enterprise strategy, measurable business outcomes, and long-term platform sustainability.
This role also carries people leadership accountability, including the management and development of Product Owners across cross-functional squads, driving a shift toward product-led delivery, and embedding strong governance through clear roadmaps, OKRs, and performance measures.
Key Responsibilities.
- Product Strategy & Vision: Define and own the enterprise vision, strategy, and roadmap for Data and MarTech platforms, ensuring alignment with group strategy, commercial priorities, and long-term scalability.
- Customer Data & Single Customer View: Lead the development and evolution of Customer Data Platform and Single Customer View capabilities across web, app, in-store, and all touchpoints and channels.
- Retail Marketing & Media Platforms: Own marketing and retail media data foundations, including onsite and offsite media enablement, attribution, audience creation and supporting closed-loop measurement.
- Customer Experience & Personalisation: Enable data-driven personalisation, recommendations, and experimentation across retail touchpoints to improve conversion, basket size, frequency, and retention.
- Digital Operations Data in Retail: Strong experience and understanding of Product, Inventory, Categories, Orders and Brands Data for powering Web, App, Al and Cross-Channel experiences.
- AI-Enabled Retail Capabilities: Enable AI-powered data products that support intelligent decisioning, content generation, recommendations, and agent-led commerce use cases embedded within multi-channel and marketing workflows.
- Platform Architecture & Integrations: Collaborate with Technology and Architecture to ensure Data and MarTech platforms align to MACH-based architectural principles and support scalable, resilient integrations across a large multi-brand ecosystem.
- Data Privacy & Compliance: Embed privacy, consent management, security, and regulatory compliance into all data products by design, working closely with Legal, Security, and Governance teams.
- Cross-Functional Collaboration: Partner closely with Product, Marketing, Digital, Technology, Architecture, UX, Analytics, and Trade / Commercial teams to align priorities, manage dependencies, and deliver integrated outcomes.
- Stakeholder Management: Engage senior business and group leadership to prioritise initiatives, manage trade-offs, and ensure transparency on progress, risks, and valuable outcomes.
- Product Delivery & Ways of Working: Drive product-led, Agile delivery models across squads, ensuring consistent execution, clear accountability, and outcome-focused value delivery.
- People Leadership & Capability Development: Lead, mentor, and develop Product Owners, building strong Data and MarTech product capability, including hiring, performance management, and capability uplift.
- Performance Measurement & Value Realisation: Define, track, and report on OKRs, KPIs, and success metrics to ensure accountability, value realisation, and continuous improvement.
- Partner & Vendor Management: Manage strategic Data, MarTech, and Retail Media partners to ensure effective delivery, innovation, and value optimisation across the ecosystem.