Responsibilities

• Lead the development of a trusted marketing measurement framework, ensuring stakeholders have a clear view of marketing performance, return on investment and customer lifetime value.
• Drive the evolution of our analytical capabilities by developing attribution models, predictive insights and customer intelligence that support strategic decision-making.
• Maximise the value of our Salesforce Single Customer View, transforming customer data into meaningful insights that improve acquisition, retention and long-term customer relationships.
• Champion the use of artificial intelligence within the marketing and customer service funtions, machine learning and automation to enhance reporting, forecasting and customer understanding across the business.
• Partner closely with Marketing, CRM, Finance, T&I, Data Engineering and Business Intelligence teams to deliver scalable and commercially focused insight solutions.
• Act as the bridge between technical specialists and business stakeholders, translating complex data into clear recommendations that influence business performance and future strategy.
• Lead and develop a high-performing insight and reporting team, creating a culture of curiosity, continuous improvement and data-led decision making.
• Ensure robust governance, data quality and compliance standards are maintained across all customer insight, reporting and analytical activity

Requirements

• Significant experience leading data analytics, customer insight or data science teams within a complex, multi-channel business.
• A proven track record of delivering marketing attribution, ROI measurement and marketing mix modelling that drives confident business and investment decisions.
• Strong expertise in predictive analytics, including customer segmentation, forecasting, propensity modelling, churn analysis and customer lifetime value.
• Experience working within a Single Customer View or unified customer data environment, ideally leveraging Salesforce and related technologies.
• Practical experience applying AI, machine learning and automation to improve insight generation, forecasting and business performance.
• Strong technical capability across analytical and reporting tools such as SQL, Python and Power BI.
• The ability to translate complex data into clear, commercially focused recommendations that influence senior stakeholders and strategic decision-making.
• Experience building strong partnerships across Marketing, Business Intelligence, Data Engineering, IT and Transformation teams, acting as a bridge between commercial and technical functions.
• Exceptional communication and presentation skills, with experience engaging and influencing executive and board-level audiences.
• Experience leading, developing and mentoring high-performing analytical teams.

Preferred

• Experience within automotive retail, franchised retail or another large consumer-facing business.
• Knowledge of digital analytics platforms, customer data platforms and wider marketing technology ecosystems.
• An understanding of data engineering principles, data pipelines and machine learning operations.
• Experience working with first-party data strategies and privacy-first measurement approaches.

Benefits

• Enjoy 33 days annual leave (including bank holidays), giving you more time to relax, recharge, and do what you love
• Celebrate your special day with an extra day off on your birthday
• Our industry-leading Family Leave Policies ensure you’re supported when it matters most
• Access a new car through our Salary Sacrifice scheme and enjoy a smarter way to drive
• Take a paid day to volunteer and give back to a cause close to your heart
• We believe in recognising dedication and loyalty, that’s why we celebrate long service milestone anniversaries
• Unlock your potential with tailored training and endless career growth opportunities
• Commute for less with our cycle to work scheme
• Access high street discounts to make the everyday a little more rewarding
• Know someone perfect for Lithia UK? Earn rewards through our internal referral scheme