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 doesnt 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