VP Data & Analytics

VP Data & Analytics

Location: London The Carwow Group is on the look-out for an exceptional leader to head-up our Data Science, Analytics, Data Product and AI teams as we gear up for our next stage of growth. You will play a pivotal role in defining and driving our data strategy, advancing our analytical capabilities, and spearheading our AI initiatives, whilst working closely with senior stakeholders from across the Group. OUR MISSION

To become the car-changing destination of choice. By combining technology, media and deep automotive expertise, we've turned how people buy, sell and lease cars on its head. What started as a simple reviews site is now one of the largest online car-changing destinations in Europe. Last year alone we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service. In 2024 we went big and acquired Autovia - creators of AutoExpress and Evo magazines - doubling our audience overnight. Together we now have one of the biggest

YouTube

channels in the world with 10m subscribers and over 1.1 billion annual views, while we sell 1.2 million print copies of our magazines and have an annual web content reach over 350million. And we’re a long way from finished! YOUR MISSION

Define and drive our data strategy while advancing our analytical capabilities and spearheading our AI initiatives, and put Carwow on the map as a leader in this space. Lead our Data Science, Analytics, Data Product and AI teams to transform and lead the next stage of our data journey, making waves at the intersection of tech and the automotive industry. Leverage your deep technical expertise with proven strategic business acumen to unlock the full potential of data across our fast-growing ecommerce and content marketplace, working in partnership with senior stakeholders across the business. Be a visionary leader, leveraging your experience in crafting innovative strategies that use data to stand out from the competition. WHAT YOU’LL DO

Shape our future:

Define and implement our Data strategy in alignment with the broader Group’s commercial and technology strategies

Explore new frontiers:

Stay at the forefront of data science and AI trends, identifying opportunities and building to leverage cutting-edge technologies and methodologies

Lead for success:

Grow and lead a comprehensive data function, overseeing teams in Data Science, Data Product, Analytics and AI/ML, focusing on fostering a culture of innovation and building for scale and continuous learning

Be a problem-solving extraordinaire:

Drive the advancement of analytical capabilities across the group with a focus on customer modelling, self-serve, experimentation, and reporting

Operational wizardry:

Develop and optimise the operating model between data teams and the wider business to drive greater effectiveness, efficiency and maximise impact from our investments in data capabilities

Influence for impact:

Champion data-driven decision making across the organisation, ensuring that insights are translated into actionable recommendations for business impact

Build for scale:

Oversee the development and implementation of robust data infrastructure, ensuring data quality, accessibility, and security

WHAT YOU’LL NEED

Demonstrable experience in designing and delivering a compelling Data vision and engaging across organisational domains to foster buy-in. You’ve been the creator and owner of a Data strategy, not only the executor

Extensive commercial experience in marketplace businesses with the ability to align data and AI initiatives with overall business objectives

Hands-on Data Science background with strong technical skills in Python, SQL, and cloud computing platforms - this is essential!

Proven experience in a senior leadership role in a fast-paced high growth scale-up

A track record of data modelling, and applying advanced analytics, data systems and tools, machine learning, and AI, to drive business growth

Exceptional influencing and communication skills with the ability to translate complex technical concepts for diverse stakeholders

Advanced degree in Computer Science, Data Science, Statistics, or a related quantitative field

Experience with best-in-class data visualisation and business intelligence tools

Deep knowledge of agile methodologies and their application in data and analytics projects

INTERVIEW PROCESS

Introductory call with our Talent team

Hiring Manager interview with our Chief Business & Operations Officer

Technical skills deep dive with our CEO and Lead Machine Learning Product Manager

Stakeholder interview with two members of our SLT

Optional CEO final meeting

WHAT’S IN IT FOR YOU

Competitive comp package

28 days' holiday increasing to 35 with length of service, plus extras for house moves, weddings and more!

Employee-friendly share options

Pension scheme via Royal London - up to 5% company contribution

Vitality private healthcare insurance

Life Assurance - 4x annual salary

Monthly coaching sessions with Spill - our mental wellbeing partner

Inclusive parental, partner and shared parental leave including up to 20 weeks' full pay maternity and shared parental leave, and 8 weeks' full partner pay, as well as fertility treatment and pregnancy loss policies

Bubble childcare support and discounted nanny fees for little ones

'Work from abroad for a month' annual scheme

Generous learning and development budget

£500/€550 home office budget

Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally.

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