Zoek naar een Omgevingsmanager voor het Metronet project van RET in Rotterdam. Betrokken bij integraal omgevingsmanagement en stakeholdercommunicatie binnen complexe infrastructurele projecten.
About the role
- Web & App Personalization Manager leading the design and optimization of personalization strategies. Building and optimizing recommendation models to drive conversion and user engagement.
Responsibilities
- Responsible for building and optimizing personalized product recommendation models across the website and mobile app, improving search-to-purchase conversion, monetization and user experience:
- Lead the development of user centered recommendation systems for products, destinations, bundles and offersImprove relevance across search results, listings, landing pages and carousels.
- Partner closely with Product and UX to translate MVP models into scalable product features.
- Continuously test and optimize personalization impact on conversion, gross bookings and user experience.
- Operate with a strong experimentation-first mindset across all personalization initiatives.
- Design A/B tests and control groups to measure true incremental impact.
- Separate correlation from causation in model evaluation.
- Define clear success metrics aligned with business outcomes (gross booking, revenue, margin, ROI).
- Own the web & app personalization strategy end-to-end across countries.Bring governance, structure and clarity to a highly impactful but sensitive lever.
- Define and manage clear ownership of web/app placement rules, processes and guardrails.
- Create a simple but robust approval process.
- Share learnings and frameworks across countries and teams.
- Act as a strategic partner to Product, Marketing, Growth, CRM and Commercial teams.
- Translate business problems into data science roadmaps and priorities.
- Align stakeholders on trade-offs, limitations and expected impact of models.
- Influence without authority through clarity, credibility and results.
- Incrementality vs vanity metrics: Many models can “look good” on paper; this role must ensure they drive real incremental value, not cannibalization.
- Operationalizing data science: Success depends not only on building models, but on getting them adopted, trusted and used at scale.
Requirements
- 5+ years of experience in **data science, personalization **or growth analytics.
- Strong background in **machine and deep learning, experimentation and causal measurement.**
- Experience leading and developing **data science teams.**
- Experience in** travel, ecommerce, marketplaces** or scaled consumer platforms is a strong plus.
- Ability to operate in fast-paced, cross-functional, multi-country environments.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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