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Head of Strategic Data and Intelligence Analysis

Civil Service

Job Description

With access to big, complex data from across the agricultural sector, this is a new, major role in creating strategic system-level insight and analysis to support operational delivery of high-level environmental outcomes, national biosecurity and net zero. Leading teams of data analysts and intelligence analysts in locations across the country, you will need to work closely with colleagues across RPA, Defra and wider government. You will drive strategic change in how RPA uses data and evidence to monitor the state of the agricultural sector, to administer the payment of over 2.4 billion in public funds each year to enable the Governments environmental and economic outcomes and to support customers in meeting those outcomes.In this role you will:Lead development of RPAs Data and Intelligence strategy, embedding the use of data and analysis across RPAs internal and customer facing activities.Lead the team in developing an overarching approach to translating and communicating RPAs Data and Intelligence Strategy across the organisation and into wider Defra, including Defras Central Data Office.Work alongside the four Heads of Operational Data and Analysis, Geospatial Services, Regulatory and Advice Service Field Team and Outcomes and Regulatory Policy in the business area, developing RPAs tactical and strategic intelligence approach to monitor, analyse and act on intelligence, supporting high level outcomes.Build a strategic data analysis function to both inform activity within RPA and develop operational data and intelligence pipelines into wider Defra, supporting policy development, agri-environment scheme design, scheme financing and regulatory approach.Work with Planning and Capability Business Area colleagues and Government profession leads (e.g. Government Science and Engineering), to develop new career pathways and opportunities for RPAs specialist Data and Intelligence roles, expanding capability into other areas as the function grows (e.g. into statistical and behavioural science areas).

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