Head of Data

Head of Data & Intelligence

Ship customer-facing value. Don't run the back-office reporting team.

Six months in, here is the test: do colleagues build on our data with confidence, or work around it?

The platform sits on a rich operational dataset built over years of real use. The customer base spans operational managers, commercial leaders, finance teams, planners and leadership, each valuing different insights. The opportunity is to turn that data into a customer-facing product, not internal dashboards. Most data leadership roles offer a fragment of that combination. This one offers all of it.

Data here is a product and a growth lever, not a cost centre. AI is a roadmap question, not a bolt-on. And the dataset is the kind that lets a specialist platform open a clear data advantage in its market, if the right person is shaping it.

What you would actually do

• Lead and develop the existing data team across analytics and engineering capability, lifting them into stronger builders, commercial thinkers and operators.
• Define and deliver the roadmap for customer-facing dashboards, reporting and insight products. Translate distinct persona needs into shipped value.
• Identify the highest-value opportunities to use data for retention, expansion and differentiation. Build practical models, alerts and recommendations into the product experience.
• Own the continued development of the data platform, lake and warehouse foundations. Create a clean, well-structured data model that underpins both reporting and future AI capability.
• Help shape the practical AI roadmap from a data perspective. Separate genuine product opportunities from hype.
• Partner closely with Product and Engineering leadership to ship data products and intelligence features.
• Reduce founder dependency by building customer and data insight into the organisation rather than into the founder's head.

What you bring

• A track record leading Data in a strong B2B SaaS or operational software environment, ideally one operationally complex.
• A history of shipping reporting or analytics products that customers actually use and pay for, not just internal dashboards.
• Comfort balancing data engineering foundations with fast commercial wins. You know how to sequence them.
• Strong persona-driven thinking. You understand that operational managers, commercial leaders and finance teams each value different insight.
• A pragmatic view on AI. You have shipped embedded intelligence in products and can separate real opportunities from hype.
• Comfort working closely with a founder who carries deep customer and market expertise. You pull insight out, you do not wait to be briefed.