Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Vice President, Data (Viator)

TripAdvisor LLC
London
9 months ago
Applications closed

Related Jobs

View all jobs

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer...

AI/MLOps Platform Engineer...

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.

What We’re Looking For

  • 20+ years experience in data roles; some ecommerce or marketplace experience preferred.
  • Strong commercial acumen and ability to apply technological advancements to real business problems.
  • Proven experience in a senior data leadership role with a team of 50+, with a strong track record of developing and executing data strategies that have driven significant business impact at a strong product company.
  • Extensive expertise in data science, machine learning, analytics, and experimentation methodologies.
  • Leadership qualities with experience in building, mentoring, and leading high-performing data teams.
  • Excellent stakeholder management and communication skills, with the ability to translate complex data concepts into actionable business insights.
  • Strong understanding of data systems, architecture, and ML ops, with the ability to oversee the implementation and management of scalable data and machine learning pipelines.
  • Strong understanding of data governance, privacy, and regulatory requirements relevant to the US, UK and EMEA.
  • A forward-thinker, with a passion for staying ahead of data trends and technologies.
  • Relevant advanced degree in Statistics, Mathematics, Computer Science or a related field.

Apply for this job#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.