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.
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