Associate HR Innovation Officer (S)
Overview
The Associate HR Digital Innovation Officer drives digital adoption and optimization by modernizing HR service delivery, identifying process automation opportunities, and leading change management initiatives.
Key Responsibilities
- Synthesizing client requirements and translating them into technical specifications.
- Optimizing HR workflows by proposing digital automation or self-service solutions.
- Designing and executing change management plans, user guides, and training modules.
- Co-ordinating User Acceptance Testing (UAT) and providing post-launch support.
- Partnering with clients to establish data governance standards.
- Serving as a functional liaison in cross-departmental project working groups.
- Ensuring proposed system modifications align with the unit’s technology roadmap.
- Tracking and evaluating post-implementation metrics for system adoption and process efficiency.
Required Experience
A minimum of four years (two years with a relevant second-level degree) of professional-level experience in human resources, HR systems, business analysis, digital transformation, or related field; A demonstrated track record of leading change management initiatives, including designing user acceptance testing (UAT), authoring user guides, and delivering hands-on training to diverse stakeholder groups; Proven experience mapping business processes, gathering user requirements, and translating them into technical specifications for IT projects; Experience working within an international organization, public sector institution, or a highly matrixed environment with decentralized field operations is highly desirable; Desirable knowledge of HR IT systems (Core HR, talent management, payroll) and HR processes, and/or HRIS platforms (e.g., Oracle EBS, Taleo, SuccessFactors, or equivalent cloud systems); Experience in advising on systems, policy issues, and priorities, as well as formulating policy, plans, and procedures.
Qualifications
A first-level university degree either in Human Resources, Business/Public Administration, or technology with specialization in data science, computer science, applied mathematics or statistics, finance, economics, psychology and/or management information systems, or similar.