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For Companies At a Glance
- Tasks: Lead the strategy for innovative data products and AI-driven solutions.
- Company: Join a pioneering company transforming digital commerce across Europe.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation, making impactful decisions in a dynamic environment.
- Qualifications: 10+ years in product leadership with expertise in data solutions and AI/ML platforms required.
- Other info: Fluency in additional languages is a plus; engage with industry leaders and drive change.
The predicted salary is between 54000 - 84000 £ per year.
Our client is leading the digital transformation of their industry, empowering customers with cutting-edge tools that redefine how stock is managed, traded, and optimised. Their 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.
Scope of Role: As Head of Product for Data Solutions, you’ll own the end-to-end strategy for our data products, Salesforce integrations, and the Decision Engine. You’ll bridge technical innovation with business impact, ensuring the platform becomes the central nervous system for commerce – ingesting, analysing, and acting on data to deliver right product, 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:
- Vision & Strategy: 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 our pan-European growth goals and client needs.
- 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.
Skills, Knowledge, and Experience:
Essential: 10+ years in Product Leadership, with 5+ years focused on data products, Salesforce ecosystems, or AI/ML platforms (B2B, fintech, or marketplaces). Proven track record scaling data solutions from MVP to enterprise-grade adoption. Deep technical expertise in:
- Data Platforms: Cloud-native architectures (AWS/Azure), data mesh/fabric.
- Salesforce: Financial Services Cloud, CRM integrations, CPQ.
- AI/ML: Production-grade model deployment, MLOps, ethical AI frameworks.
Strong commercial mindset: Experience monetising data or SaaS products.
Desired: 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.
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Product – Data (Manchester Area)
✨Tip Number 1
Network with professionals in the data product space, especially those who have experience with AI/ML platforms and Salesforce ecosystems. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 2
Familiarise yourself with the latest trends in data monetisation and AI ethics. Being able to discuss these topics intelligently during interviews will demonstrate your commitment to the field and your understanding of the challenges and opportunities that come with leading data products.
✨Tip Number 3
Prepare to showcase your leadership skills by gathering examples of how you've successfully led cross-functional teams in the past. Highlight specific projects where you drove innovation and commercial success, particularly in data-driven environments.
✨Tip Number 4
Research the company's current data products and their market position. Understanding their existing offerings and how they align with the pan-European growth goals will allow you to tailor your discussions and show how you can contribute to their vision.
We think you need these skills to ace Head of Product – Data (Manchester Area)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Head of Product – Data position. Familiarise yourself with the company's vision for data solutions and how your experience aligns with their goals.
Tailor Your CV: Craft your CV to highlight relevant experience in product leadership, particularly in data products and AI/ML platforms. Emphasise your achievements in scaling data solutions and any experience with Salesforce ecosystems.
Write a Compelling Cover Letter: In your cover letter, express your passion for data innovation and how you can contribute to the company's mission. Mention specific examples from your past roles that demonstrate your ability to lead cross-functional teams and drive commercialisation of data products.
Showcase Technical Expertise: Make sure to include details about your technical skills, especially in cloud-native architectures, data platforms, and ethical AI frameworks. This will help demonstrate your deep technical expertise, which is crucial for this role.
How to prepare for a job interview at Placed
✨Understand the Product Vision
Make sure you have a clear understanding of the company's product vision for Data Solutions. Be prepared to discuss how your experience aligns with their goals, especially regarding AI/ML-driven automation and data monetisation.
✨Showcase Technical Expertise
Highlight your technical skills related to data platforms, Salesforce integrations, and AI/ML frameworks. Be ready to provide examples of how you've successfully scaled data solutions in previous roles.
✨Demonstrate Leadership Skills
As this role involves leading a team, be prepared to discuss your leadership style and how you've effectively managed cross-functional teams in the past. Share specific instances where your leadership made a significant impact.
✨Prepare for Stakeholder Engagement
Think about how you would engage with C-suite executives and clients. Prepare examples of how you've secured buy-in for data-driven initiatives and facilitated co-creation workshops to validate priorities.
