Data & Integration Services Lead | (Agentic AI–Ready)
Domain: Human Resources
London | Hybrid or Remote | Permanent
Up to £125k (Bonus & Benefits)
This role will suit a Data & Integration lead with enterprise data architecture and integration design across HR/Payroll estates, governance expertise (data quality, security/privacy, compliance), and a proven track record delivering migration, cutover, and decommissioning.
Someone who can bring analytics visualisation (Power BI/Tableau) and semantic modelling, working familiarity with Workday, SAP SuccessFactors, and Oracle HCM, and strong stakeholder management with high-grade documentation and decision papers.
Candidates who cannot evidence all of the above in their resumes will not be considered!
THE ROLE:
You will own the integration landscape and data governance that underpin HR/Payroll transformation and agentic AI. Set standards, industrialise patterns, and make pipelines trustworthy, observable, and compliant so AI agents and analytics deliver value rather than noise.
Responsibilities:
* Design the logical integration landscape (APIs, ETL, events, iPaaS).
* Define data contracts, lineage, and data quality SLAs; implement RBAC and security controls.
* Lead data migration, cutover, and legacy decommissioning/archival.
* Stand up observability (SLO/SLI, monitoring, runbooks) and support run operations.
* Enable visualisation frameworks for decision-making.
* Partner with Enterprise Architecture to align to target state and standards.
* Support agentic/AI use cases with governed, shareable data.
Requirements
* Enterprise data architecture and integration design across HR/Payroll estates.
* Governance expertise: data quality, security/privacy, and compliance.
* Proven delivery across migration, cutover, and decommissioning.
* Experience with analytics visualisation (Power BI/Tableau) and semantic modelling.
* Familiarity with Workday/SAP SuccessFactors/Oracle HCM ecosystems.
* Strong stakeholder management; clear documentation and decision papers.
Nice to have
* iPaaS/MDM tooling; process mining/IDP exposure.
* Agent lifecycle/orchestration concepts and ML readiness.