Vice President, Data (Viator)

Tripadvisor; City Of London; On-site; GBP 120,000 - 160,000; Full time

Job summary

A leading travel company in London is seeking a Vice President of Data. This pivotal role involves shaping the company's data strategy, overseeing advanced data science and machine learning initiatives, and leading a team of data professionals. The ideal candidate will have over 20 years of experience in data roles, including leadership experience in e-commerce. This role offers a challenging environment to drive growth through data innovation.

Qualifications

• 20+ years experience in data roles, e-commerce experience preferred.
• Proven experience in a senior data leadership role and executing data strategies.
• Strong understanding of data governance, privacy, and regulatory requirements.

Responsibilities

• Develop and execute a comprehensive data strategy aligned with company objectives.
• Oversee the deployment of advanced data science and machine learning models.
• Lead analytics to deliver actionable insights for strategic decisions.

Skills

Data science

Machine learning

Data analytics

Leadership

Stakeholder management

Education

Relevant advanced degree in Computer Science, Statistics, Mathematics, or related field

Job description

The Role

As the Vice President of Data, you will spearhead our Analytics, Data Science and Machine Learning, and Experimentation efforts. 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 e-commerce 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 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 Computer Science, Statistics, Mathematics, or a related field.