Hyperoptic
Principal Product Manager (Data)

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Job title: Principal Product Manager (Data)
Office location with Hybrid working: Hammersmith
The Principal Product Manager (Data) owns the product strategy for how Hyperoptic turns its customer, usage, and network data into measurable commercial value. Success looks like a clear, prioritised roadmap of data-driven use cases across acquisition, pricing, upsell, renewals, and retention. Equally important are the capabilities of our data platform and Central Analytics models packaged into products that commercial & product teams actually use and deploy; and a demonstrable, attributable contribution to revenue, ARPU, and churn. The Principal Product Manager (Data) is a senior individual-contributor role that leads through influence, working across Product, Technology & Innovation, Central Analytics, Commercial, and Marketing to make data a growth engine rather than a reporting function. The ideal candidate will have a product mindset and data skillset!!
What will you be doing?
- Define and own the Data Monetisation product strategy and roadmap: identify, size, and prioritise use cases across the customer based on commercial value, feasibility, and time to impact.
- Act as product owner for data-driven decisioning capabilities, starting with the Renewals Next Best Offer and churn propensity programme, and extending into pricing, personalised offers, and proactive retention.
- Translate commercial problems into clear product requirements and work with Central Analytics (Data Scientists and Analysts) and Technology & Innovation (Data Engineering) to deliver models, scores, and pipelines into live customer journeys and operational tooling.
- Own the path from insight to production: ensure models and data products are embedded into CRM, digital journeys, pricing engines, and agent tooling, and are measured in live experiments rather than left as analysis.
- Build and maintain the business case and benefits tracking for data monetisation initiatives, including expected and realised revenue, ARPU, and retention impact, and report progress to the Product Director, Chief Customer Officer, and Executive Team.
- Design and run a disciplined test-and-learn programme (A/B, multivariate, holdouts) with Commercial and Marketing, so that every data-driven intervention has a measured incremental effect.
- Champion the use of our Data Hub and Central Analytics outputs across the business: drive adoption of data products by commercial, CVM, sales, and service teams, and remove friction between insight and action.
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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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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What we are looking for?
- Significant experience as a Senior or Principal Product Manager owning data, analytics, ML-driven, or monetisation products with measurable P&L impact.
- Track record of taking predictive models (churn, propensity, next best action, pricing) from proof of concept into production and proving incremental value through controlled experiments.
- Hands-on experience of experimentation and measurement design: A/B and multivariate testing, holdout groups, incrementality, and attribution.
- Experience working in a subscription or recurring-revenue business where pricing, retention, and customer value management are core levers (telecoms, ISP, utilities, media, fintech, or insurance).
- Working knowledge of modern data stacks and ML delivery (data lakes and warehouses, feature pipelines, MLOps, CDPs, decisioning platforms) sufficient to shape scope and challenge trade-offs with engineers and scientists.
- Telecoms or ISP experience, and/or experience in a scale-up or private-equity-backed environment and experience of B2B data or insight products, or of vendor evaluation for decisioning, CDP, or ML tooling helpful.
- Commercially minded: thinks in revenue, margin, ARPU, and churn, and can build and defend a business case with the CFO and CCO.
- Excellent communication: can explain data and model concepts to executives and customers, and commercial context to data scientists and engineers.
- High integrity on data ethics and privacy, instinctively protects customer trust and treats compliance as a design constraint, not an afterthought.


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Why work for us?
We are proud to have been recognized as the Which? Great Value Broadband Provider in March 2026. In 2023, we were voted Broadband Provider of the Year at the Uswitch Telecoms Awards by 20,000 customers and received the Fair Terms Gold Award. Additionally, we have earned the Great Place to Work Certification (2022–23) and were named among the UK's Best Workplaces for Wellbeing (2022).
Going beyond the expected
Whatever we're doing – whether we're liaising with property professionals, delivering our network, or installing in a customer's home, going beyond the expected is the benchmark for everything we do. How we work is shaped by our three culture principles:
- We work smarter, together
- We stay focused
- We strive for excellence
Some of our key Benefits
- Competitive salary
- Global Remote working for up to 2 weeks per year for those who are able to work remotely
- 25 days' paid holiday increasing each year, to a max of 35
- Extra days off for your birthday, moving home, wedding/civil partnership, and to volunteer
- Private medical Insurance provided by AXA health
- Life assurance giving you cover of 4 times your base salary
- Partnership with the Kings Trust
- Our pension scheme matches your contributions up to 4%
- Retail offers — discounts from hundreds of recognisable brands
- Free Hyperoptic broadband if you live in a Hyperoptic area
- Enhanced pay for new parents
We're committed to providing equal opportunities to all applicants and employees. In fact, this is at the heart of our culture and values. We welcome applications from candidates from all walks of life.
What happens next?
- You apply
- We carefully review your application
- We'll get back to you — even if it's a no (for now)
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