Vice President, Data (Viator)

at  TripAdvisor

Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore—everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)—making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it’s never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you’ll remember.

THE ROLE

As the Vice President of Data, you will spearhead our Product Analytics, Data Science and Machine Learning, and Experimentation efforts, reporting to the Chief Product Officer. You will play a pivotal role in shaping our data strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This could include developing a hyper-personalized experience in our mobile app leveraging first party data to developing a sophisticated system for bidding across our marketing channels to buy the right audience at the right time to finding opportunities to automate tasks that make our employees more productive.

KEY RESPONSIBILITIES

• Strategy & Leadership: Develop and execute a comprehensive data strategy that aligns with the company’s objectives. Lead and expand a team of data professionals, fostering a culture of excellence and continuous learning.
• Data Science & Machine Learning: Oversee the development and deployment of advanced data science and machine learning models to solve complex business challenges, improve customer experiences, and drive innovation.
• Analytics & Insights: Lead the analytics function to deliver actionable insights and recommendations that inform strategic decisions and operational improvements across the business.
• Experimentation: Champion a test-and-learn culture by overseeing the experimentation framework and processes, ensuring rigorous evaluation of new ideas and initiatives.
• Data Governance & Quality: Establish and maintain robust data governance practices and standards to ensure data quality, privacy, and security compliance.
• Stakeholder Engagement: Work closely with senior leadership and cross-functional teams to identify opportunities for leveraging data, ensuring data initiatives are aligned with business priorities.
• Innovation & Trends: Stay abreast of industry trends and technological advancements in data analytics, machine learning, and artificial intelligence, identifying opportunities for adoption and investment.