Senior Data Product Manager; Monetisation

Job Description
hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role.

Location - Any UK office (Hybrid - 8 days per month in office)

We’re hiring a Senior Data Product Manager to own the design, launch, and evolution of advertising‑focused data products for external customers - covering audience segments, targeting signals, measurement/attribution outputs, anonymised datasets, clean‑room–enabled delivery, and ad‑tech integrations.

You’ll partner closely with Digital teams, ad‑tech vendors, agencies, engineering, and Business Development to deliver privacy‑safe, scalable ad data products that meet advertiser and agency needs, support monetisation, and achieve product‑market fit in the advertising vertical. This is a hands‑on senior IC role (not internal reporting/analytics), where you’ll translate client requirements into build‑ready specifications and steer end‑to‑end delivery, documentation, onboarding, and iteration.

Who we are

The UK’s fastest broadband network. The nation’s best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we’re building a more connected future for everyone.

Our ways of working

We’re a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person.

That doesn’t just mean time in the office, it could be team meetings, offsites, volunteering days, cross-functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts.

Accessible, inclusive and equitable for all

Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us.

In order to be considered, you must have the following experience

• Ad‑tech / data product leadership:
  Direct experience in ad‑tech, martech, audience/measurement, or advertising data product management, delivering externally consumed data products (e.g., segments, measurement, attribution, anonymised datasets)
• Product specification to build:
  Proven ability to translate advertiser/agency needs into product specifications, including data schemas, delivery formats, SLAs, and sector‑ready documentation (schemas, samples, onboarding guides, compliance statements)
• Technical collaboration & delivery:
  Hands‑on experience working with engineering/data teams to design and ship pipelines for segment creation, aggregation/validation, and clean‑room delivery—from backlog definition through acceptance and launch
• Privacy, security & compliance:
  Strong understanding of GDPR, anonymisation/pseudonymisation, data governance and internal security standards—and how to embed them by design in ad data products
• Client & partner engagement:
  Comfortable partnering with agencies, ad‑tech vendors, measurement partners and BD to shape scope, test hypotheses, validate demand and refine product‑market fit
• Iterative product mindset:
  Evidence of collecting usage and performance feedback (clients, agencies, internal stakeholders) and using it to improve features, data quality, delivery mechanisms and adoption
• Data fluency:
  Solid grasp of data pipelines, schemas, delivery patterns and QA/validation in advertising contexts; able to reason about trade‑offs between utility, scale, latency and privacy

The other stuff we are looking for

• Experience with data clean rooms (e.g., building/delivering privacy‑preserving audiences/measurement), aggregated audience measurement, or cross‑media/CTV/OTT data
• Familiarity with privacy‑enhancing technologies (e.g., differential privacy, secure computation), anonymisation techniques, and ad‑tech governance models
• Experience supporting early‑stage…