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Senior Product Manager

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Senior Product Manager – Data & AI Platform - £120,000 - must have Knowledge Graph experience
I'm working with an innovative technology business that is looking to appoint a Senior Product Manager to take ownership of its Data Foundations product domain. This is an opportunity to play a key role in shaping the strategy and roadmap for a platform at the intersection of Product, Data and AI, working closely with Engineering and Data Science teams to deliver scalable, intelligent data solutions.
Responsibilities
- Own the product strategy, vision and roadmap for the Data Foundations domain, ensuring it delivers measurable business and customer value.
- Take ownership of the end-to-end product lifecycle, from customer discovery and requirements gathering through to delivery and continuous optimisation.
- Lead the development of scalable data extraction and enrichment capabilities, working closely with Engineering and Data Science teams.
- Define and evolve knowledge graph, entity modelling and taxonomy strategies to improve the quality, structure and discoverability of data.
- Drive the roadmap for AI-powered data products, including semantic search, retrieval and LLM-driven enrichment capabilities.
- Partner with engineering teams to evaluate technical solutions, balancing business priorities with architectural and technical considerations.
- Define product objectives, success metrics and KPIs, using data to measure impact and guide future product decisions.
- Evaluate and integrate third-party data providers to enhance the breadth and quality of the platform's data.
- Collaborate with legal, compliance and commercial teams to ensure data governance, privacy and regulatory requirements are met.
- Build strong relationships across Product, Engineering, Data Science and key business stakeholders to deliver against strategic objectives.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What I'm Looking For


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Your very own career expert that helps elevate your application to the next level.
- Proven experience as a Senior Product Manager or Technical Product Manager, ideally within AI, data platforms or enterprise SaaS environments.
- Experience owning and delivering complex data products from concept through to production.
- Strong understanding of AI-powered products, data pipelines and large-scale data platforms.
- Experience working with knowledge graphs, GraphRAG, semantic search, entity modelling or ontology/taxonomy management.
- Experience working alongside Engineering and Data Science teams to deliver technically complex products.
- Good understanding of APIs, structured and unstructured data, and modern data architectures.
- Experience defining product success metrics and using data to drive product decisions.
- Ability to translate complex technical concepts into clear product strategy and business value.
- Comfortable operating within a fast-paced, collaborative environment with a high degree of ownership and autonomy.
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