National church running parishes, cathedrals and diocesan services across England
The Church of England runs its national and diocesan administration on a Microsoft-centric stack — Azure, Dataverse, Power Platform, Power BI and Power Automate — alongside SAP and Salesforce, pointing to a low-code approach to back-office operations. Accelerating hiring tilts toward operations and support, with director-level openings in finance, business operations and safeguarding, while job posts repeatedly flag income sustainability and carbon reduction.
Notable leadership hires: Business Operations Director, Head of Library, Finance Director, Safeguarding Director, Head of Private Office
The Church of England is a London-headquartered nonprofit founded in 1534, with 10,001+ employees. It operates a nationwide network of parishes and cathedrals, plus chaplaincies in continental Europe, and is part of the worldwide Anglican Communion. Its bishops sit in the House of Lords. Day-to-day work spans worship and ministry, education, safeguarding, finance and diocesan operations. Hiring is concentrated in the United Kingdom.
Its stack includes Azure, Power Platform, Dataverse, Power BI, Power Automate, SAP, Salesforce, Moodle, Cornerstone, ArcGIS, MapInfo, Mailchimp, Eventbrite and Zoom.
Yes, hiring is accelerating, led by operations and support roles, with leadership openings such as Finance Director, Safeguarding Director and Business Operations Director, all in the United Kingdom.
Job posts point to a multi-year parish share project, diocesan safeguarding strategy, pastoral reorganisation legal schemes, an accelerator fund and outreach to families, children and young people.
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The Church of England's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.