HR Enablement Manager

·       Define the vision and roadmap for HR data and system architecture to deliver the ‘core priorities’.

·       Support the design, implementation, and continuous improvement of HR systems and AI Initiatives including EIA’s new ERP implementation of Oracle Fusion (e.g., HR Core, Manpower Planning, Payroll, Talent Management, Recruitment, Learning).

·       Align HR system functionality with organisational objectives, HR policies, and UAE regulatory frameworks.

·       Contribute to HR digital transformation initiatives aimed at enhancing efficiency, improving user experience, and enabling data-driven decision-making.

·       Align HR data and systems with EIA’s AI strategy to optimise AI capabilities across HR and business functions.

·       Support automation and integration projects between the ERP, AI and other HR technology platforms.

·       Participate in system strategy discussions to ensure scalability and compliance and adherence to industry best practices.

·       Establish governance framework for prioritisation, compliance, and risk management.

·       Develop and deliver training programmes for stakeholders on AI features and ERP best practices.

Core Responsibilities

·       Provide day-to-day functional and technical support for HR ERP modules, resolving user issues and ensuring system reliability.

·       Coordinate with IT to conduct system health checks, fit-gap and feasibility assessment, impact evaluation, and system testing, while leading troubleshooting and root cause analysis for incidents and enhancement requests.

·       Collaborate with IT and implementation vendors to configure, upgrade, or customise ERP functionalities based on HR requirements.

·       Collaborate with cross-functional teams to identify AI use cases such as process automation, predictive analytics, and intelligent reporting.

·       Ensure compatibility between ERP systems and AI platforms/tools

·       Maintain data accuracy and integrity across HR systems and ensure compliance with organisational and audit standards.

·       Generate and validate HR reports, dashboards, and analytics to support management and operational decisions.

·       Support training and onboarding for HR system users, ensuring effective system adoption and utilisation.

·       Develop and maintain documentation including process maps, standard operating procedures, user manuals and FAQs.

·       Coordinate with Finance and other departments for data interfaces, payroll integration, and shared workflows.

·       Monitor system performance, identify areas for improvement, and recommend process enhancements.

·       Lead and participate in release planning and product increment cycles.

This is a highly hands-on role with no direct reports, operating as the HR data and technology product owner and primary expert, supported by vendors and cross-functional partners.

·       Provide guidance and support to HR team members on ERP and AI usage and functionality.

·       Foster collaboration between HR, IT and cross-functional teams to ensure a cohesive approach to HR system-related activities.

·       Promote a culture of continuous learning and innovation within HR system operations.

·       Support change management efforts during system implementation, upgrades, process transitions and enhancements.

Management Accountability

·       Accountable for system stability, accuracy, and internal policy compliance across HR ERP operations.

·       Ensure compliance with relevant UAE and international data privacy and information security regulations.

·       Own the HR data model, ensuring accuracy and consistency of data across HR and business systems.

·       Working closely with IT ensure timely resolution of user requests and system incidents in HR systems.

·       Ensure continuous improvement and optimisation of HR digital tools and workflows.

·       Support HR data governance, system security, and audit readiness.

·       Support vendor selection, contract evaluation and ongoing performance reviews of HR technology providers.

·       Manage HR technology budgets, planning and spend.

·       Ensure HR department and individual members are skilled in the identification and management of AI governance particularly in terms of ethics, bias, transparency and explainability.

·       Establish specific internal guidelines for responsible use of AI in HR within the wider EIA policies and procedures.

·       HR systems support an error free payroll and accurate core HR data

·       HR digital roadmap is clear, comprehensive, integrated with EIA’s digital strategy and aligned with IT, business and other relevant stakeholders.

·       50% reduction in manual HR processes within 18 months

·       100% user adoption in HR of HR AI tools

·       90% user adoption in line management of AI related people management tools

·       No material audit findings related to HR data quality, security or system controls.

·       Bachelor’s degree in Human Resources, Information Systems, Business Administration, or a related field.

·       Certification or formal training in ERP systems (e.g., Oracle, SAP, or similar) preferred.

·       10-12 years of experience in HR systems management, ERP functional support, or HR operations within a large or government-linked organisation.

·       Proven experience in implementing and supporting ERP HR modules such as Payroll, Core HR, Learning, Recruitment, or Performance Management.

·       Strong understanding of HR processes, data management, and HR policy frameworks, with the ability to ensure compliance and operational excellence across ERP and AI-enabled systems.

·       Experience in collaborating with IT teams and vendors to deliver system enhancements and integrations.

·       Hands-on experience with major ERP systems & AI technologies in particular Oracle Fusion otherwise SAP SuccessFactors, Microsoft Dynamics and HR AI / ML tools).

·       Proficiency in HR analytics, reporting tools, and data validation techniques.

·       Strong understanding of data architecture and data management

·       Strong understanding of generative and agentic AI creation, management and governance.

·       Strong analytical, troubleshooting, and project coordination skills.

·       Excellent communication, stakeholder management, and vendor management abilities.

·       High attention to detail, accuracy, and data confidentiality.