Director of Traveler Data and Loyalty Analytics

Director of Traveler Data and Loyalty Analytics

Country: CH CH

Job Type: Indefinite

Avolta is the world’s leading travel experience player. With a traveler‑centric philosophy and a geographically diverse network, the travel retail and F&B company addresses the needs of up to 2.3 billion passengers each year, with 5,500 outlets in more than 75 countries across six continents. Guided by their Destination 2027 strategy and boosted by their recent combination with travel F&B giant Autogrill, the company is well positioned to realise their ambition to create a Travel Experience Revolution through their many locations at airports, motorways, cruise lines, seaports and railway stations amongst others.

PURPOSE OF THE ROLE

The Director of Traveler Data & Loyalty Analytics is a leadership role responsible for building and scaling Avolta’s global traveler data and loyalty analytics capability. The role owns the vision, roadmap, and activation of Traveler 360 data assets, enabling personalised, digitally led traveler engagement across channels and touchpoints.

This position will drive value by transforming traveler data into actionable insights and AI‑powered activations that enhance:

• traveler engagement and loyalty
• digital and omnichannel experiences
• consumer insights and knowledge

Acting as a strategic partner to Digital, Marketing, Loyalty, CRM, IT, and Regional teams, the role embeds advanced analytics and AI into traveler journeys, loyalty ecosystems, and campaign execution. This role is based in Zurich.

RESPONSIBILITIES

• Define and lead the global traveler data & loyalty analytics strategy, fully aligned with Destination 2027
• Own the Traveler 360 data vision and roadmap, integrating transactional, digital, CRM, loyalty, consumer surveys, behavioral, and external travel data from third party partnerships.
• Build, lead, and scale a high‑performing global team of analytics, data science, and ML professionals
• Act as a trusted advisor to senior leadership on traveler behavior, loyalty performance, and personalization impact
• Collaborate with global and regional stakeholders to embed traveler insights into strategic and operational decision‑making

Traveler & Loyalty Analytics, Data Activation & AI

• Develop and ope rationalise advanced analytics to support:
  • traveller segmentation, profiling, and lifecycle analytics
  • loyalty program performance, engagement, earn/burn behaviour, and member value analytics
  • traveller behaviour analytics across airports, channels, and journeys
  • always‑on traveller insights to inform experience design and activation
• Lead the activation of traveller data through AI/ML‑driven use cases, including:
  • personalised campaigns, offers, and content
  • next‑best‑action and recommendation models for cross‑selling/up‑selling
  • predictive engagement and churn risk insights
• Partner closely with Marketing, Loyalty, and CRM teams to translate insights into scalable execution

Digital & App Experience Analytics, Governance & Platforms

• Lead analytics covering digital channels, including app, web, CRM, and omnichannel touchpoints
• Drive insights on:
  • digital funnel performance and conversion
  • in‑app behaviour, content engagement, and feature adoption
  • personalisation effectiveness across digital experiences
• Ensure robust data governance, quality, privacy, and compliance across traveller and loyalty data sets (CRM, loyalty platforms, digital, POS, external travel data)
• Drive innovation in analytics platforms, data products, and methodologies tailored to traveller data and digital ecosystems

WHAT WE ARE LOOKING FOR

• 10+ years of experience in data & analytics leadership, with strong exposure to B2C, customer, loyalty, digital, or CRM analytics
• Deep understanding of traveller/consumer behaviour, customer journeys, and engagement dynamics in travel, retail, or consumer environments
• Experience in Customer
  360 data models, loyalty analytics or digital B2C experience analytics
• Strong background in data science, BI, and modern data platforms (e.g. Databricks, Power BI, GCP,…)
• Demonstrated success in AI/ML‑driven personalization and data activation
• Excellent stakeholder management skills in complex, global, matrix organisations
• Strong communication and storytelling capabilities, translating analytics into business impact
• Fluency in English required; additional languages are a plus
• Experience in complex multinational environments preferred
• Experience in omnichannel and digital transformation is a significant advantage