Overview

This range is provided by Intelix.AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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.
• 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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting and Information Technology

Industries

• IT Services and IT Consulting and Strategic Management Services