Course overview
Digital HR management is no longer limited to selecting an HR information system. HR teams must redesign employee services, govern workforce data, automate transactions, improve manager self-service and produce evidence for workforce decisions. Poorly configured systems, unclear data ownership and weak adoption plans create duplicate records, low self-service usage, privacy exposure and reporting that leaders do not trust.
This course develops practical capability in digital HR operating models, HR data governance, HRIS selection, implementation planning, employee self-service, digital recruitment, learning platforms, performance workflows, workforce analytics and AI controls. Participants work with methods including employee journey mapping, RACI, ADKAR, requirements traceability matrices, process mining, ISO 30414 metrics and business-case development. They learn how to connect HR technology decisions with policy, service delivery, risk controls and measurable workforce outcomes.
Teaching combines concise instructor briefings with sector-based cases, group analysis, system-design simulations and application planning. Cases reflect common requirements in banks, public bodies, multinational employers, NGOs and regulated service organisations. Participants progressively develop a digital HR management blueprint during the course, then complete a capstone plan containing target processes, data controls, technology requirements, adoption actions, measures and implementation priorities.
The course suits HR professionals responsible for modernising services, managing HR systems, improving employee experience or producing more reliable workforce information. It is particularly useful for teams preparing an HRIS replacement, shared-services initiative, analytics programme or digital operating-model review.


