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Enterprise Architect

JLR Search Ltd
Posted 2 days ago, valid for 14 days
Location

London, Greater London SE1 6LW, England

Salary

£110,000 - £130,000 per annum

Contract type

Full Time

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Sonic Summary

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  • A leading boutique HR Management Consultancy is seeking an Enterprise Architect for their technology consulting division, focusing on HR/Payroll architecture and HRIS transformation.
  • The role requires a salary of $150,000 to $180,000 and a minimum of 10 years of relevant experience.
  • Candidates must possess deep expertise in HR and Payroll systems, including knowledge of Workday, SAP SuccessFactors, and Oracle, and be capable of making high-level decisions at the CIO/CHRO level.
  • TOGAF certification and an understanding of agentic AI principles are essential, along with a future-proofing mindset regarding architecture and governance.
  • The successful candidate will define integration landscapes, guide the transition of legacy systems, and develop reusable tools and IP for internal productization.

A leading boutique HR Management Consultancy has a fantastic opportunityfor an Enterprise Architect to join a dynamic technology consulting division andown the target HR/Payroll architecture and operating model for end-to-end HRIS transformation.

You will chair key design decisions, set standards (TOGAF), and make the estate future-proof and AI/agentic-ready. You must be credible at CIO level and hands-on enough to guide integration patterns and data architecture.

Key Skills / Experience

  • Domain depth: HR & Payroll expertise; understands suite-level differences (Workday/SF/Oracle) and payroll control points.
  • Operates at CIO/CHRO level: can land decisions, not just recommendations.
  • TOGAF Certified
  • Agentic AI awareness: human-in-the-loop patterns, guardrails, governance.
  • Future-proofing mindset: landing zones, observability (SLIs/SLOs), decommissioning.
  • Set the target state & roadmap; run EA governance and KDDs; align CHRO/CIO stakeholders.
  • Embed agentic/AI readiness and data assurance into architecture; partner with data/AI leads.
  • Define integration landscapes and transition states; guide legacy demise (purge/archive/reporting).
  • Build reusable IP/toolkits and support internal productisation.

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