Data Integration Manager

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 and Integration Services Lead |
(Agentic AI–Ready)Domain: Human ResourcesLondon | Hybrid or Remote | PermanentUp to £125k (Bonus and Benefits)This role will suit a Data and 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 levelEmployment type
Full-timeJob function
Consulting and Information TechnologyIndustries
IT Services and IT Consulting and Strategic Management ..... full job details .....