Senior Product Manager, MarTech & Data

A leading Randstad client in the travel and hospitality sector is seeking a hands-on Senior Product Manager, MarTech & Data, to untangle complexity and architect a unified data roadmap. Operating at the intersection of marketing strategy, data engineering, and technical architecture, you will build structure where it doesn't yet fully exist-mapping marketing technology capabilities directly to high-visibility strategic initiatives like loyalty, CRM, and personalization. This role is ideal for a proactive, execution-first builder who thrives in ambiguous environments and can effortlessly translate complex technical dependencies into clear business value for executive leadership.

• Roadmap Ownership: Own and drive the end-to-end MarTech stack roadmap, ensuring seamless alignment between overarching business priorities and technical architecture vision.
• Data Product Definition: Define, prioritize, and scale critical data products, including Customer 360 / unified profiles, advanced segmentation frameworks, attribution models, and real-time decisioning engines.
• Dependency Mapping: Document complex system dependencies, cross-functional data flows, and platform integration points across the existing tech stack to optimize prioritization.
• Agile Execution: Translate high-level business capabilities into structured epics and features for engineering, digital, and analytics teams to accelerate execution.
• Privacy & Compliance: Ensure all current and future data initiatives strictly comply with GDPR, CCPA, and evolving global data privacy regulations.
• Innovation & Evaluation: Continuously assess emerging industry trends, with a heavy focus on AI-driven personalization, real-time decisioning platforms, and cookieless marketing/identity solutions.

• Experience: 6 10+ years of dedicated product management experience, with a proven track record of hands-on delivery focusing on MarTech or core data platforms.
• Industry Background: Prior experience in hospitality, travel, or a similarly fast-paced, customer-centric industry is strongly preferred.
• Technical Architecture: Strong understanding of data ecosystems (CDPs, data warehouses, identity resolution) alongside practical experience managing APIs and complex data models.
• Data Literacy: Deep data fluency, including hands-on experience with SQL, data analytics concepts, and experimentation/testing frameworks.
• The "Translator" Capability: Exceptional communication skills with the ability to simplify complexity and seamlessly bridge the gap between technical engineers and non-technical stakeholders.
• Mindset: An execution-first, proactive mindset with a demonstrated ability to bring definition and structure to ambiguous, multi-stakeholder corporate environments.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No