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- Tasks: Shape data product strategy and turn data into revenue-generating products.
- Company: Join a global tech business transforming agri-trading with data.
- Benefits: Remote work, competitive pay, and potential for contract extension.
- Why this job: Make a real impact in the agri-trading industry with innovative data solutions.
- Qualifications: Experience in data product management and strong commercial skills required.
- Other info: Dynamic role with opportunities to build valuable industry connections.
The predicted salary is between 36000 - 60000 £ per year.
Contract: 6-Month Contract (possible extension or permanent)
Location: UK or Europe (Remote)
You will be joining a global technology business transforming the way the agri-trading industry uses data — helping design, price, and commercialise new data products that create measurable value across the market.
You will be responsible for shaping the data product strategy: validating market needs, defining pricing models, and working closely with product and technical teams to turn data assets into revenue-generating commercial products. This is a strategic and commercially driven role for someone who combines a deep understanding of data products with real-world experience of taking them to market.
Job Responsibilities
- Define and validate new data product opportunities through market engagement and competitor benchmarking.
- Develop pricing and monetisation strategies across customer segments and data tiers.
- Partner with Product and Engineering teams to refine data structure, quality, and usability.
- Build and maintain client and partner relationships to test propositions and drive adoption.
- Negotiate commercial terms, licensing models, and data partnerships.
- Lead go-to-market plans and support sales execution for new data offerings.
Skills you will need
- Proven background in data product management, pricing, or monetisation.
- Strong commercial experience in commodities, financial, or agri-market data.
- Ability to translate technical data concepts into commercial value propositions.
- Experience defining pricing models (subscription, licensing, or usage-based).
- Excellent communication and stakeholder management skills.
- Analytical mindset with commercial awareness and negotiation experience.
Nice to have
- Experience working in or selling to commodities trading, agriculture, or energy sectors.
- Network within data vendors, brokers, or trading firms.
- Experience in SaaS or digital platform sales.
- Knowledge of market data regulation or IP licensing frameworks.
Apply now or email Barry.Ansell@HarringtonStarr.com for a faster review.
Product Data Manager in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the agri-trading and data product space. Use LinkedIn to connect with industry professionals and don’t be shy about asking for informational chats. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your expertise! Create a portfolio or a case study that highlights your experience in data product management and pricing strategies. This will give potential employers a tangible sense of what you can bring to the table. We love seeing real-world examples!
✨Tip Number 3
Prepare for those interviews! Research the company and its products thoroughly. Be ready to discuss how you can help them shape their data product strategy and drive adoption. We want to see your analytical mindset in action!
✨Tip Number 4
Apply through our website! It’s the quickest way to get noticed. Make sure to tailor your application to highlight your relevant skills and experiences. We’re here to help you land that dream job, so don’t miss out on this opportunity!
We think you need these skills to ace Product Data Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Product Data Manager. Highlight your experience in data product management and any relevant commercial experience in commodities or agri-market data. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've defined pricing models or developed data products in the past. Let us know how you can add value to our team!
Showcase Your Analytical Skills: Since this role requires an analytical mindset, make sure to include any relevant projects or experiences that demonstrate your ability to translate technical data concepts into commercial value. We love seeing how you think and approach problems!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Harrington Starr
✨Know Your Data Products
Make sure you have a solid understanding of data products, especially in the agri-trading sector. Familiarise yourself with current market trends and competitor offerings so you can discuss how your experience aligns with the company's goals.
✨Showcase Your Commercial Acumen
Be prepared to talk about your experience in pricing models and monetisation strategies. Bring examples of how you've successfully defined and implemented these strategies in previous roles, as this will demonstrate your ability to drive revenue.
✨Communicate Effectively
Strong communication skills are key for this role. Practice articulating complex data concepts in simple terms, as you'll need to convey value propositions to various stakeholders. Consider doing mock interviews to refine your delivery.
✨Build Relationships
Highlight your experience in building and maintaining client relationships. Be ready to discuss how you've engaged with partners and clients to test propositions and drive adoption, as this is crucial for success in the role.
