Head of Data & Commercialisation
- Define and Execute Data Strategy: Build a clear and scalable data strategy that supports our product–led growth model, customer success, and market expansion.
- Commercial Product and Pricing Strategy: In collaboration with the commercial/sales teams – define our subscription roadmap and pricing strategy, conduct regular sales/market analysis. Identify opportunities to acquire new customers, trade customers up and retain the ones we do have through product/sales initiatives globally
- Drive Commercial Value from Data: Identify ways to use data to improve monetisation (e.g. upsell triggers, data as a service), enhance onboarding, and optimise retention.
- Inform Product & GTM Decisions: Collaborate closely with Product, Commercial and Marketing to use data for segmentation, targeting, and personalisation strategies.
- Attribution: As we expand globally and develop our marketing programs ensure all our initiatives are attributable, measurable by channel and market. This is vital for us but also our commercial partners
- Own Metrics and KPIs: Establish the metrics that matter–usage behaviour, digital satisfaction etc –and make them accessible across the org.
- Build Insights Infrastructure: Work with engineers or vendors to implement and manage the tools needed to deliver reporting, dashboards, and predictive insights.
- Support Regulatory & Risk Needs: In partnership with compliance/legal teams, help ensure data usage aligns with GDPR and market regulations.
- Act as Strategic Partner: Serve as the data voice in leadership discussions–bringing a data–driven lens to commercial strategy, pricing models, and investor reporting.
- 10+ years of experience in data strategy, product analytics, or commercial operations–ideally in fintech or SaaS environments.
- Strong understanding of building data models, data sharing agreements, customer lifecycle, LTV economics, and regulatory considerations.
- Demonstrated experience translating data into commercial outcomes (e.g., churn reduction, pricing / subscription optimisation, market performance).
- Experience working with pricing, margin and revenue models across multi national businesses.
- Hands–on skills with modern data tools (e.g., AWS, PowerBI, SalesForce)
- Exceptional communication skills–you're equally comfortable presenting to the exec team or collaborating with engineers.
- Proven ability to thrive in a fast–moving, ambiguous environment with competing priorities.
- Ability to travel to the UK and abroad when required
- Experience working with financial and/or banking partners. Knowledge of banking systems and data sets would be advantageous
- Familiarity with B2B metrics like product–led growth, activation funnels, and customer segmentation.
- Exposure to or curiosity about AI/ML and how it can enhance SaaS experiences.
- You'll have a great compensation package, private health & dental insurance, corporate discounts and career development through Dentsu University, and free access to LinkedIn learning
- 29+ days of annual leave (25 days of regular holidays, birthdays off and 3 additional wellness days)
- We also offer the opportunity to volunteer for up to 2 days per year and tend to close down the agency between Christmas and New Years
- You'll have a hybrid working schedule
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