Head of Product Intelligence Job at Full Time

Head of Product Intelligence

We’re looking for a Head of Product Intelligence to help a leading organisation unlock a deeper understanding of product usage and customer value across its software portfolio. This role will own the data capabilities that link product behaviour to real-world impact and improve business decisions.

You will be responsible for:

• Defining and owning the product intelligence strategy across the product portfolio
• Owning the telemetry platform strategy, including the design and development of an event data pipeline feeding into a data lakehouse
• Setting standards for product instrumentation (event schemas, naming conventions, versioning, and required properties across all products)
• Building data products, including curated datasets, semantic models, and governed metrics used across the organisation
• Defining data structures for usage, engagement, and outcomes to enable a consistent understanding of products across the organisation
• Shaping product analytics and insights capabilities
• Evaluating product analytics tooling against data architecture, governance requirements, and budget constraints
• Overseeing event ingestion, data pipeline engineering, and platform design to ensure product telemetry data is ingested, transformed, and governed within a unified data lakehouse architecture
• Shaping the measurement strategy by defining success criteria and ensuring insights translate into improved product outcomes
• Building analytics dashboards and insight solutions
• Growing the product intelligence team

Required experience and skills:

• Extensive experience in data analytics engineering and enterprise data architecture
• Experience defining and implementing event instrumentation standards, event infrastructure, and product telemetry architecture
• Experience defining product success metrics, measurement frameworks, and data requirements for decision-making
• Hands-on experience with modern data platforms, including Databricks (experience with MLflow, Unity Catalog, or Feature Store is beneficial)
• Strong SQL and Python skills
• Experience working across the full data life cycle, from instrumentation and ingestion through to transformation, modelling, and analysis
• Experience leading and mentoring technical teams
• Broad experience with product analytics and product experience platforms is an advantage
• Experience using machine learning for behavioural and usage data analysis is beneficial
• Experience building and embedding scalable product data products (curated datasets, APIs, and metrics) that enable consistent measurement and inform product decisions across the life cycle