Justin Chamberlin
Head of Asset Management - Raven Housing Trust

Justin Chamberlin is an accomplished strategic leader in the housing sector, currently serving as Head of Asset Management at Raven Housing Trust. With almost three decades of experience across housing associations and local authorities, Justin has played a pivotal role in transforming asset strategies, embedding GIS capabilities, and driving sustainability agendas within social housing.

At Raven, he oversees the strategic and operational delivery of asset management across a 7,000-property portfolio. He has spearheaded sustainability initiatives including leading the SHDF bid process and implemented advanced modelling techniques to ensure the long-term viability of housing stock. His leadership includes the development of a property performance model that integrates Net Zero Carbon (NZC) investment, local social metrics, and capital forecasting to inform regeneration and divestment strategies.

A recognised authority on Geographic Information Systems (GIS), Justin has introduced GIS platforms across multiple organisations, utilising tools such as ESRI and QGIS to integrate spatial intelligence into housing management, capital planning, and risk mitigation. His work at Saxon Weald, First Wessex, and Sutton Housing Partnership, showcased his ability to build enterprise-grade GIS systems and translate spatial data into actionable insights for stakeholders.

Justin has a strong track record of managing high-value capital programs (up to £35 million), insourcing and optimising stock condition surveys, and leading compliance, decarbonisation, and digital infrastructure projects. He has delivered key transformation outcomes including exceeding KPI targets, securing multimillion-pound disposals, and integrating BIM, CAD, and point-cloud data into digital asset strategies.

Known for his collaborative, data-driven approach and clear strategic vision, Justin is a sought-after voice on topics including asset optimisation, digital transformation, sustainability in social housing, and the power of spatial analysis.