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- Tasks: Lead the strategy for innovative data products and AI-driven solutions in automotive.
- Company: Cox Automotive Europe is revolutionising the automotive industry with cutting-edge digital tools.
- Benefits: Enjoy hybrid work options and a dynamic, collaborative environment.
- Why this job: Shape the future of automotive intelligence while driving impactful change across Europe.
- Qualifications: 10+ years in Product Leadership, with expertise in data products and AI/ML platforms.
- Other info: Fluency in German, French, or Spanish is a plus.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Join to apply for the Head of Product (Decision Engine) role at Cox Automotive Europe
Join to apply for the Head of Product (Decision Engine) role at Cox Automotive Europe
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Head of Talent Acquisition at Cox Automotive Europe – We\’re hiring!
Location: Leeds/Manchester – Hybrid
Department:
Cox Automotive Europe is leading the digital transformation of the automotive industry, empowering dealers, OEMs, and buyers with cutting-edge tools that redefine how vehicles are managed, traded, and optimised. Our pan-European programme includes a groundbreaking Decision Engine, an AI-driven platform that turns complex data into actionable insights, enabling smarter decisions across inventory, pricing, and supply chains. Join us to shape the future of automotive intelligence.
Scope of Role:
As Head of Product for Data Solutions, you’ll own the end-to-end strategy for Cox Automotive’s data products, Salesforce integrations, and the Decision Engine. You’ll bridge technical innovation with business impact, ensuring our platform becomes the central nervous system for automotive commerce – ingesting, analysing, and acting on data to deliver right vehicle, right price, right channel, right buyer. This role demands equal parts technical depth, commercial acumen, and leadership excellence to scale solutions across Europe.
Key Responsibilities:
- Define and evangelise the product vision for Data Solutions, including:
- Decision Engine: AI/ML-driven automation for pricing, stock, and channel optimisation. – Salesforce Ecosystem: Unified CRM, billing, and compliance workflows.
- Data Products: Monetisable APIs, analytics suites, and third-party data partnerships.
- Align roadmaps with Cox Automotive’s pan-European growth goals and client needs.
- Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis).
- Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ.
- Decision Engine: Prioritise AI/ML use cases (e.g., dynamic pricing, desirability scoring) and ensure ethical, bias-free automation.
3. Cross-Functional Leadership
- Lead a team of Product Managers (Data, Salesforce, Decision Engine) and collaborate with:
- Data Science & Engineering: Scale MLOps, model governance, and data quality.
- Commercial Teams: Develop pricing models for data-as-a-service (DaaS) offerings.
- Legal & Compliance: Embed GDPR, PSD2, and AI ethics into product design.
- Drive revenue through data monetisation (e.g., API access for OEMs, residual value forecasts for dealers).
- Identify partnerships with third-party data providers (e.g., economic indicators, weather APIs).
- Champion R&D into emerging tech (GenAI, graph analytics, federated learning).
5. Stakeholder Alignment
- Partner with C-suite to secure buy-in for data-driven initiatives.
- Engage clients (OEMs, dealers) in co-creation workshops to validate priorities.
- Represent Cox Automotive at industry events as a thought leader in automotive data innovation.
Skills, Knowledge, and Experience:
- 10+ years in Product Leadership, with 5+ years focused on data products, Salesforce ecosystems, or AI/ML platforms (B2B, automotive, fintech, or marketplaces).
- Proven track record scaling data solutions from MVP to enterprise-grade adoption.
- Deep technical expertise:
- Data Platforms: Cloud-native architectures (AWS/Asure), data mesh/fabric.
- Salesforce: Financial Services Cloud, CRM integrations, CPQ.
- Strong commercial mindset: Experience monetising data or SaaS products.
- MBA or advanced degree in Data Science, Computer Science, or related field.
- Experience in automotive supply chain, wholesale auctions, or residual value management.
- Fluency in German, French, or Spanish.
STRICTLY NO AGENCIES PLEASE
We work with a carefully selected set of recruitment agencies and we\’re not looking to add to our PSL.
We do not accept unsolicited agency CV\’s sent to the recruitment team or directly to the hiring manager. We will not be responsible for any fees related to unsolicited CV\’s.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Product Management and Consulting
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Industries
Software Development, Retail Motor Vehicles, and Financial Services
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Head of Product (Decision Engine) employer: Cox Automotive Europe
Contact Detail:
Cox Automotive Europe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Product (Decision Engine)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to automotive data solutions. Being able to discuss recent advancements or case studies during your conversations can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the automotive and tech industries, particularly those involved in product management and data solutions. Attend relevant industry events or webinars to connect with potential colleagues and gain insights into what Cox Automotive Europe values in their leadership roles.
✨Tip Number 3
Prepare to discuss your experience with Salesforce integrations and cloud-native architectures. Be ready to share specific examples of how you've successfully scaled data solutions in previous roles, as this will be crucial for demonstrating your fit for the Head of Product position.
✨Tip Number 4
Showcase your understanding of the automotive supply chain and how data-driven decisions can optimise it. This knowledge will be key in aligning with Cox Automotive's goals and demonstrating your ability to lead their data products effectively.
We think you need these skills to ace Head of Product (Decision Engine)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Head of Product (Decision Engine) role. Familiarise yourself with Cox Automotive's products and their impact on the automotive industry.
Tailor Your CV: Customise your CV to highlight relevant experience in product leadership, data solutions, and AI/ML platforms. Emphasise your achievements in scaling data solutions and any experience with Salesforce ecosystems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the automotive industry and your vision for the Decision Engine. Discuss how your skills align with the company's goals and how you can contribute to their digital transformation.
Highlight Technical Expertise: In your application, be sure to mention your technical skills related to cloud-native architectures, data platforms, and any relevant certifications. This will demonstrate your capability to lead the technical aspects of the role.
How to prepare for a job interview at Cox Automotive Europe
✨Understand the Product Vision
Before your interview, make sure you have a solid grasp of Cox Automotive's product vision, especially regarding the Decision Engine. Familiarise yourself with how AI and ML are integrated into their offerings and be ready to discuss how you can contribute to this vision.
✨Showcase Your Technical Expertise
Given the technical depth required for this role, prepare to discuss your experience with data platforms, cloud architectures, and Salesforce integrations. Be specific about past projects where you've successfully scaled data solutions or implemented AI-driven products.
✨Demonstrate Cross-Functional Leadership
Highlight your experience in leading cross-functional teams. Prepare examples of how you've collaborated with data science, engineering, and commercial teams to drive product success. This will show your ability to bridge technical innovation with business impact.
✨Prepare for Stakeholder Engagement Scenarios
Think about how you would engage with C-suite executives and clients. Be ready to discuss strategies for securing buy-in for data-driven initiatives and how you would facilitate co-creation workshops to validate product priorities.
