Digital Human Resources Management Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends HR Managers, HRIS Managers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-HM-094

Before you join: Participants should have practical experience in an HR, people operations, talent, payroll, learning, recruitment or HR systems role.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

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.

What you will be able to do

  • Assess digital HR maturity using operating-model, data, technology and adoption criteria
  • Design employee journeys, self-service transactions and HR service catalogues
  • Establish HR data governance using definitions, stewardship, lineage and quality controls
  • Develop HRIS requirements, vendor scorecards and implementation governance documents
  • Configure digital workflows for recruitment, performance, learning, rewards and employee services
  • Analyse workforce data using metric dictionaries, cohort analysis and dashboard design
  • Apply privacy, cyber-risk, AI governance and access-control measures to HR technology
  • Produce and present a digital HR management blueprint with roadmap, controls and success measures

Benefits of attending

For you

  • A structured method for assessing and improving digital HR services
  • Practical documents for contributing to HRIS selection and implementation projects
  • Greater confidence discussing HR data, privacy, controls and technology risks
  • Reusable approaches for building workforce dashboards and service metrics
  • A complete digital HR blueprint for presenting to senior stakeholders

For your organisation

  • More reliable HR data through defined ownership, quality controls and common metrics
  • Improved employee and manager self-service through clearer workflows and service design
  • Better HR technology investment decisions using requirements, scorecards and business cases
  • Reduced privacy, access-control and AI-related risk in people processes
  • A prioritised roadmap linking HR technology initiatives to service and workforce outcomes

Course modules

20 modules over 10 days

Participants can assess a digital HR operating model and identify priority improvement areas.

  • Digital HR operating model linking service delivery, data and workforce priorities
  • Employee journey mapping identifies moments, channels, owners and service failures
  • HR shared services, centres of expertise and business partner accountabilities
  • Self-service design distinguishes employee, manager and HR administrator transactions
  • Service catalogue defines request types, fulfilment targets and escalation routes
  • Digital HR maturity assessment scores process, data, technology and adoption

Participants can define HR data structures, ownership and quality controls for reliable reporting.

  • HR data domains: worker, position, job, organisation, pay and absence
  • Canonical data definitions eliminate conflicting headcount, turnover and vacancy calculations
  • Unique identifiers connect worker records across HR, payroll and learning systems
  • Data lineage documents source, transformation, owner and reporting use
  • Master-data governance assigns stewardship, approval rights and correction procedures
  • Data-quality scorecards measure completeness, validity, timeliness, consistency and uniqueness

Participants can apply privacy and access-control requirements to HR data and digital workflows.

  • Lawful-basis assessment records purpose, data category, retention period and access
  • Privacy notices explain processing, recipients, retention, rights and contact routes
  • Role-based access control limits sensitive records by job responsibility
  • Data retention schedules separate recruitment, employment, payroll and investigation records
  • Cross-border transfer assessment documents hosting locations, safeguards and processor obligations
  • Incident response workflow contains, assesses, records and communicates HR data breaches

Participants can prepare requirements, evaluate vendors and define core HRIS contract controls.

  • Requirements traceability matrix ranks mandatory, desirable and excluded system capabilities
  • Current-state process maps expose handoffs, rework, controls and integration gaps
  • Vendor scorecards compare functionality, security, configurability, support and total cost
  • Request-for-proposal questions test implementation approach, data migration and service levels
  • Integration architecture maps APIs, file exchanges, identity management and error handling
  • Contract schedules define acceptance criteria, change control, ownership and exit provisions

Participants can plan a controlled HRIS implementation from project initiation through cutover.

  • Implementation charter sets scope, sponsors, governance, milestones, budget and dependencies
  • RACI matrix assigns decisions, delivery tasks, consultation and approval responsibilities
  • Configuration workbooks translate policy rules into fields, workflows and validations
  • Data migration plan covers extraction, cleansing, mapping, loading and reconciliation
  • User acceptance testing scripts verify critical transactions, controls and exception routes
  • Cutover checklist coordinates final loads, access provisioning, communications and fallback actions

Participants can build an adoption plan for employees, managers and HR system users.

  • Stakeholder analysis segments sponsors, managers, employees, unions and system administrators
  • ADKAR change plan addresses awareness, desire, knowledge, ability and reinforcement
  • Role-based learning paths match tasks, permissions, risks and support needs
  • Champion networks collect feedback, demonstrate workflows and report adoption barriers
  • Communication calendar sequences announcements, demonstrations, reminders, launch and reinforcement
  • Adoption dashboard tracks activation, completion, transaction success and support demand

Participants can design controlled digital recruitment and onboarding workflows.

  • Applicant tracking workflows standardise requisitions, approvals, screening, interviews and offers
  • Structured interview guides use competency criteria, anchored ratings and evidence notes
  • Candidate relationship management segments talent pools, consent status and communication cadence
  • Recruitment funnel metrics calculate source conversion, time-to-fill and offer acceptance
  • Algorithmic screening controls test bias, explainability, human review and audit trails
  • Digital onboarding journeys sequence documents, equipment, induction and probation checkpoints

Participants can use digital workforce data to model future roles, skills and capacity.

  • Strategic workforce planning translates business demand into roles, skills and headcount
  • Supply analysis maps current capacity, critical roles, attrition and internal mobility
  • Scenario models compare hiring, redeployment, outsourcing and automation workforce responses
  • Skills taxonomy distinguishes capabilities, proficiency levels, evidence and expiry dates
  • Nine-box talent review calibrates performance, potential, succession and development actions
  • Position management controls approved roles, incumbency, vacancies, budgets and organisational changes

Participants can configure performance processes that produce useful feedback and decision records.

  • Continuous performance cycle combines goals, check-ins, feedback, reviews and calibration
  • OKR design links team outcomes, key results, measures and ownership
  • Behaviourally anchored rating scales reduce ambiguity in manager performance assessments
  • Calibration sessions test rating distributions, evidence standards and manager consistency
  • Performance workflow automates reminders, approvals, acknowledgements and audit histories
  • Goal analytics identify completion rates, alignment gaps and overdue conversations

Participants can design learning technology processes that link development activity to skills needs.

  • Learning experience platforms organise curricula, resources, pathways and recommendations
  • Skills-gap analysis compares role profiles, assessed proficiency and development priorities
  • 70-20-10 development plans combine work assignments, coaching and formal learning
  • SCORM and xAPI records track completions, activity statements and learning evidence
  • Kirkpatrick evaluation measures reaction, learning, behaviour and results evidence
  • Mandatory-training dashboards monitor assignments, expiry dates, completion and exceptions

Participants can specify digital controls and analytics for rewards and benefits processes.

  • Digital total-reward statements combine salary, benefits, incentives, pension and recognition
  • Compensation review workflows manage budgets, recommendations, approvals and audit trails
  • Pay-equity analysis compares like-for-like roles using controlled comparison groups
  • Benefits enrolment rules validate eligibility, life events, elections and dependants
  • Recognition platforms govern nomination criteria, approvals, points and tax treatment
  • Reward analytics monitor range penetration, compa-ratio, gender gaps and budget variance

Participants can improve employee support through case management, knowledge and listening systems.

  • Case management categorises enquiries, assigns owners, tracks service levels and resolutions
  • Knowledge-base articles use plain language, version control and search metadata
  • Chatbot intent design routes routine questions, handoffs and unsupported requests
  • Employee listening combines pulse surveys, lifecycle feedback and open-text analysis
  • Sentiment safeguards prevent re-identification, retaliation risk and inappropriate manager access
  • Service experience metrics measure resolution time, effort score and satisfaction

Participants can create decision-ready HR measures, analyses and workforce dashboards.

  • HR metrics dictionary defines formulas, populations, frequency, owners and limitations
  • Descriptive dashboards show headcount, turnover, absence, hiring and demographic movements
  • Cohort analysis distinguishes voluntary exits by tenure, location and job family
  • Driver analysis tests relationships without claiming causation from correlated variables
  • Statistical significance and confidence intervals qualify comparisons between workforce groups
  • Data storytelling pairs charts, operational implications, caveats and recommended decisions

Participants can evaluate HR analytics and AI use cases with appropriate governance controls.

  • Predictive model lifecycle defines question, data, training, validation, monitoring and retirement
  • Attrition-risk models require outcome definitions, bias tests and intervention governance
  • Generative AI use cases draft job descriptions, FAQs and learning content
  • Human-in-the-loop review controls consequential decisions, exceptions and model outputs
  • AI risk register records purpose, harm, controls, owners and review dates
  • Prompt templates protect confidential data and specify verifiable output constraints

Participants can design digital HR practices that support hybrid and distributed workforces.

  • Hybrid-work policies define eligibility, attendance expectations, equipment and location approvals
  • Digital collaboration norms set response times, meeting protocols and documentation practices
  • Workforce scheduling systems match demand forecasts, skills, availability and labour rules
  • Time-and-attendance controls capture exceptions, approvals, overtime and absence interfaces
  • Digital wellbeing indicators distinguish workload signals from intrusive employee monitoring
  • Remote onboarding plans establish access, relationships, role clarity and early feedback

Participants can assess and reduce security, continuity and control risks in HR technology.

  • HR cyber-risk assessment identifies assets, threats, vulnerabilities, controls and residual risk
  • Least-privilege access reviews remove inappropriate permissions after role changes
  • Segregation-of-duties controls prevent conflicting payroll, approval and master-data actions
  • Business continuity plans prioritise payroll, emergency contacts and critical HR services
  • Third-party risk reviews assess security attestations, subcontractors, breaches and recovery
  • Audit logs support investigations, access reviews, change tracking and compliance evidence

Participants can identify HR automation opportunities and establish controls for digital processes.

  • Process mining reconstructs actual HR workflows from event logs and timestamps
  • Lean value-stream mapping identifies waste, delays, queues and unnecessary approvals
  • Robotic process automation suits stable, rules-based, high-volume administrative tasks
  • Business rules engines manage eligibility logic, approvals and exception handling
  • Control design embeds validations, maker-checker steps and exception reports
  • Benefits-realisation register links automation initiatives to cost, quality and service measures

Participants can govern a digital HR portfolio and prioritise technology investment decisions.

  • Digital HR governance board prioritises investments, risks, policy decisions and benefits
  • Portfolio roadmap sequences foundational data, integrations, releases and adoption activities
  • Business cases quantify costs, benefits, assumptions, risks and measurement baselines
  • ISO 30414 metrics support consistent human-capital reporting and disclosure definitions
  • Monthly operating reviews compare service levels, adoption metrics and corrective actions
  • Continuous-improvement backlog ranks defects, enhancements, requests and process opportunities

Participants can assemble the core components of a digital HR transformation proposal.

  • Digital HR blueprint integrates target processes, data flows, systems and controls
  • Prioritisation matrix scores initiatives by value, feasibility, risk and dependency
  • Future-state service catalogue specifies users, channels, standards and ownership
  • Measurement plan assigns baselines, targets, data sources, cadence and accountable owners
  • Change impact assessment identifies affected roles, tasks, skills and resistance points
  • Executive storyboard presents investment rationale, implementation phases and decision requests

Participants can build, review and present a complete digital HR management plan for a defined workforce challenge.

  • Capstone brief defines workforce problem, sponsor expectations, constraints and success measures
  • Target operating model aligns employee journeys, services, roles and technology
  • Data governance design specifies owners, access rules, quality controls and retention
  • Implementation roadmap schedules releases, migrations, testing, training and adoption measures
  • Risk-and-control matrix addresses privacy, bias, security, continuity and vendor exposure
  • Peer review challenges assumptions, evidence, feasibility, metrics and implementation sequencing
  • Executive presentation defends the complete digital HR management plan

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Digital HR maturity assessment template
  2. HR data governance model
  3. HRIS requirements traceability matrix
  4. Digital HR implementation and adoption plan
  5. Workforce metrics dictionary and dashboard specification
  6. Digital HR management blueprint

Who should attend

  • HR Managers — responsible for improving HR services, processes and technology adoption
  • HRIS Managers — accountable for system configuration, releases, vendors and user support
  • HR Business Partners — need reliable workforce data and digital manager services
  • Talent Acquisition Managers — manage applicant tracking, candidate data and recruitment workflows
  • Learning and Development Managers — oversee learning platforms, skills data and compliance records
  • People Analytics Specialists — build workforce measures, dashboards and decision-ready analysis

Skills and tools covered

HRIS implementation planningHR data governanceWorkforce analyticsDigital service designHR technology riskChange adoption management

Tools and standards

ISO 30414, GDPR, RACI matrix, NIST Cybersecurity Framework

How the course runs

Training methodology

The course uses short instructor briefings followed by applied case work, facilitated group analysis, process-design activities and decision simulations. Participants examine HRIS selection documents, employee journey maps, data-quality issues, workforce dashboards and implementation risks. They apply named methods to realistic HR scenarios, including regulated employers and distributed workforces. Throughout the programme, participants develop elements of a digital HR management blueprint and receive structured peer and instructor feedback before presenting their final plan.

Requirements and prerequisites

Participants should have practical experience in an HR, people operations, talent, payroll, learning, recruitment or HR systems role. They should be familiar with core HR processes such as employee records, recruitment, performance management, learning, leave or workforce reporting. Basic spreadsheet confidence is useful because the course uses data definitions, scorecards and metrics. Prior HRIS implementation experience is helpful but not required. No programming, database administration, statistical modelling or previous AI expertise is required.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should have experience with core HR processes or HR technology in a professional setting. Previous HRIS implementation, coding and advanced analytics experience are not required.

Bring a laptop for reviewing templates, case materials and planning documents. If permitted by your employer, bring a non-confidential example of an HR process, reporting issue or technology project that you want to improve.

The course is designed for HR managers, HRIS professionals, HR business partners, talent leaders, people analytics specialists and project team members. It is most useful for those involved in digital HR improvements rather than purely administrative HR work.

HR analytics courses focus mainly on workforce measurement and analysis, while HRIS administration courses focus on operating a particular system. This course addresses the wider digital HR management agenda: operating model, data, process design, implementation, adoption, risk and technology governance.

Participants can use the maturity assessment, data governance model, vendor scorecard, adoption plan and workforce metrics dictionary with current projects. The capstone blueprint can be adapted into an internal proposal for an HR service or technology improvement.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first part develops core operating-model, data and implementation methods; the second part applies them to digital HR services, analytics, risk controls and the final capstone plan.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.