Digital Government Operating Model and Institutional Transformation Training Course

Course Introduction

Digital transformation requires more than introducing new technologies or digitizing existing processes; it often requires government institutions to rethink how they organize work, allocate accountability, manage capabilities, deliver services, use data, and make decisions. The Digital Government Operating Model and Institutional Transformation Training Course provides public-sector leaders and transformation professionals with advanced approaches for designing operating models that support integrated, citizen-centered, technology-enabled, and outcome-focused government.

The programme examines the relationship between strategy, organizational structure, governance, processes, people, technology, data, funding, and service delivery. Participants will learn how to assess existing operating models, identify structural and capability constraints, and design future-state models aligned with institutional mandates and transformation objectives. Particular emphasis is placed on moving from fragmented, function-oriented arrangements toward operating models that encourage collaboration, shared capabilities, service ownership, digital product management, and measurable public outcomes.

A central component of the course is institutional transformation. Government organizations frequently operate through inherited structures, complex approval processes, departmental silos, legacy systems, rigid workforce arrangements, and fragmented accountability. Participants will explore how to redesign these institutional elements while maintaining legal responsibilities, operational continuity, public accountability, and essential services. They will learn how to develop transformation architectures, target operating models, transition plans, governance mechanisms, and organizational-change strategies.

The course also addresses digital-era workforce and capability requirements. A modern government operating model depends on capabilities such as digital leadership, product management, service design, data governance, cybersecurity, technology architecture, agile delivery, procurement, analytics, and continuous improvement. Participants will learn how to identify critical capabilities, determine which should be developed internally or obtained through partnerships, design new roles and responsibilities, and establish workforce-development approaches that support long-term institutional sustainability.

Another major focus is governance and cross-government collaboration. Digital services frequently cross organizational boundaries, requiring departments and agencies to share data, platforms, standards, infrastructure, processes, and accountability. Participants will examine federated, centralized, shared-service, platform-based, product-oriented, and ecosystem operating models. They will learn how to establish decision rights, service ownership, funding arrangements, performance management, architecture governance, and collaboration mechanisms that enable coordinated transformation without eliminating appropriate institutional autonomy.

By the end of the course, participants will be able to assess existing government operating models and design practical future-state arrangements that support digital transformation, institutional effectiveness, service quality, and public value. They will gain capabilities in operating-model design, organizational transformation, governance, process redesign, workforce planning, digital capabilities, service ownership, shared platforms, data, technology, change management, and emerging AI-enabled operating models. The programme provides a structured pathway for institutions seeking to transform how government work is organized, governed, delivered, measured, and continuously improved.

Duration

10 days

Who Should Attend

• Ministers, permanent secretaries, commissioners, directors, and senior executives responsible for institutional reform and digital government.

• Chief digital officers, chief information officers, chief technology officers, and transformation executives.

• Directors of organizational development, administrative reform, public-sector modernization, and institutional transformation.

• Digital transformation programme directors, portfolio managers, programme managers, and transformation-office leaders.

• Strategy, policy, planning, governance, and institutional-performance professionals.

• Human-resource directors, workforce planners, organizational-design specialists, and learning and development leaders.

• Service owners, product managers, service designers, user-experience professionals, and digital delivery leaders.

• Enterprise architects, business architects, technology strategists, data leaders, and digital platform professionals.

• Process improvement, business-process management, operational excellence, and service-management specialists.

• Finance, investment, budgeting, benefits-realization, and resource-allocation professionals.

• Procurement, commercial, vendor-management, contract-management, and outsourcing professionals.

• Risk, audit, cybersecurity, privacy, compliance, resilience, and technology-assurance specialists.

• Change-management, communications, stakeholder-engagement, organizational-culture, and transformation-readiness professionals.

• Consultants, development partners, advisers, researchers, and professionals supporting government operating-model and institutional transformation.

Course Objectives

• Develop advanced understanding of digital government operating models, institutional transformation, organizational design, governance, capabilities, service delivery, and public-sector modernization.

• Assess current government operating models to identify structural, process, governance, workforce, technology, data, and capability constraints affecting transformation performance.

• Design target operating models that align government strategy, organizational structures, services, processes, people, technology, data, funding, and accountability.

• Apply operating-model principles that shift institutions from fragmented functional structures toward citizen-centered, service-oriented, product-based, and outcome-focused delivery.

• Develop organizational-design approaches that clarify roles, responsibilities, decision rights, service ownership, accountability, reporting relationships, and cross-functional collaboration.

• Redesign government processes to reduce unnecessary complexity, duplication, manual work, administrative burden, bottlenecks, and fragmented citizen journeys.

• Establish digital-era capability frameworks covering leadership, service design, product management, technology, data, cybersecurity, architecture, procurement, analytics, and transformation delivery.

• Design governance and funding arrangements for shared services, cross-government platforms, common capabilities, interoperable systems, and collaborative transformation initiatives.

• Develop workforce and capability strategies that address skills gaps, role evolution, recruitment, retention, reskilling, knowledge management, and changing technology requirements.

• Apply organizational-change methods to manage transformation resistance, stakeholder expectations, leadership alignment, cultural change, adoption, communication, and operational continuity.

• Assess emerging operating-model implications of artificial intelligence, automation, cloud, digital public infrastructure, platform government, and data-driven administration.

• Create a practical institutional transformation roadmap that moves government organizations toward adaptive, digitally enabled, integrated, accountable, and continuously improving operating models.

Comprehensive Course Outline

Module 1: Foundations of Digital Government Operating Models

• Understanding operating models as the connection between government strategy, organizational structures, capabilities, processes, governance, technology, data, funding, and service delivery.

• Examining how traditional bureaucratic structures differ from digital-era operating models based on services, products, platforms, capabilities, outcomes, and continuous improvement.

• Identifying common operating-model challenges involving organizational silos, duplicated functions, fragmented accountability, manual processes, legacy technology, and weak service ownership.

• Establishing principles for modern government operating models focused on citizen outcomes, institutional capability, interoperability, accountability, agility, resilience, and public value.

Module 2: Current-State Operating Model Assessment

• Mapping current government structures, services, processes, capabilities, technology, data, governance, workforce, funding, and decision-making arrangements.

• Assessing organizational maturity and identifying structural constraints that prevent institutions from delivering integrated, user-centered, and digitally enabled services.

• Conducting capability and process assessments to identify duplication, bottlenecks, unnecessary approvals, fragmented ownership, resource constraints, and technology dependencies.

• Developing evidence-based current-state assessments that provide a clear foundation for target operating-model design and institutional transformation.

Module 3: Strategy and Target Operating Model Design

• Translating government strategies, institutional mandates, service priorities, and transformation objectives into target operating-model principles and design requirements.

• Designing target operating models that connect strategic outcomes with organizational structures, capabilities, processes, technology, data, workforce, funding, and governance.

• Establishing design criteria that balance centralization, decentralization, institutional autonomy, shared capabilities, service integration, efficiency, resilience, and accountability.

• Developing future-state operating-model blueprints that clearly describe how government work, decisions, services, capabilities, and technology should operate.

Module 4: Organizational Structure and Accountability

• Designing organizational structures that support digital delivery, service ownership, product management, shared platforms, data governance, technology management, and cross-functional collaboration.

• Defining roles, responsibilities, decision rights, reporting relationships, accountability mechanisms, and escalation paths across transformed government operating environments.

• Examining centralized, federated, matrix, product-oriented, shared-service, platform, and hybrid organizational structures for different institutional contexts.

• Managing structural transition while preserving statutory responsibilities, operational continuity, employee clarity, leadership accountability, and effective public administration.

Module 5: Process and Administrative Transformation

• Mapping end-to-end government processes to identify administrative burden, duplication, manual intervention, unnecessary approvals, handoffs, delays, and inconsistent service outcomes.

• Applying process redesign, simplification, automation, standardization, and re-engineering approaches to improve efficiency and citizen experience.

• Integrating policy, process, technology, data, workforce, and service changes so that digitization does not simply automate inefficient legacy procedures.

• Establishing process-performance indicators covering cycle time, cost, errors, workload, user effort, completion rates, exceptions, and service outcomes.

Module 6: Digital Service and Product Operating Models

• Establishing service ownership models that give accountable teams responsibility for complete citizen journeys rather than isolated departmental transactions.

• Designing product-oriented operating structures that support continuous discovery, development, deployment, measurement, improvement, and retirement of digital services.

• Integrating multidisciplinary teams involving policy, technology, design, data, operations, security, accessibility, procurement, and service-management capabilities.

• Establishing service performance and product governance mechanisms that connect user needs, operational requirements, investment decisions, technology capabilities, and measurable outcomes.

Module 7: Digital Capability and Workforce Transformation

• Identifying the workforce capabilities required for modern government, including digital leadership, service design, product management, data, AI, cybersecurity, architecture, and agile delivery.

• Developing workforce transition strategies that address new roles, changing responsibilities, skills gaps, recruitment, reskilling, professional development, and retention.

• Establishing competency frameworks that connect individual skills with institutional capabilities, operating-model requirements, career pathways, and transformation priorities.

• Managing workforce impacts of automation and emerging technologies through responsible job redesign, capability development, knowledge retention, and organizational adaptation.

Module 8: Governance and Decision-Making Transformation

• Designing governance systems that enable timely decisions while maintaining accountability, transparency, risk management, legal compliance, assurance, and executive oversight.

• Establishing decision rights across policy, technology, service delivery, architecture, data, cybersecurity, procurement, finance, workforce, and operational management.

• Reducing unnecessary governance complexity by differentiating strategic decisions, operational decisions, technical decisions, risk decisions, and service-level decisions.

• Establishing governance-performance measures that assess decision speed, accountability, escalation effectiveness, alignment, risk management, and transformation outcomes.

Module 9: Shared Services, Platforms and Cross-Government Collaboration

• Designing operating models for shared digital capabilities including identity, payments, data exchange, cloud, cybersecurity, interoperability, hosting, and common government platforms.

• Establishing governance, funding, service ownership, standards, performance management, and accountability for shared capabilities used across multiple government institutions.

• Managing the balance between central coordination and departmental flexibility when implementing cross-government digital platforms and reusable services.

• Developing collaboration mechanisms that enable agencies to share capabilities, data, standards, expertise, technology, and lessons learned without creating unclear accountability.

Module 10: Data, Technology and Architecture Operating Models

• Establishing operating models for enterprise architecture, technology management, data governance, interoperability, platforms, infrastructure, cybersecurity, and technology lifecycle management.

• Aligning technology decisions with service priorities, organizational capabilities, investment governance, operating-model requirements, and long-term institutional strategy.

• Developing data operating models that clarify ownership, stewardship, quality management, access, sharing, interoperability, privacy, and analytical responsibilities.

• Managing technology modernization through architecture principles, shared capabilities, legacy reduction, cloud strategies, technical debt management, resilience, and sustainable investment.

Module 11: Funding, Investment and Resource Models

• Designing funding approaches that support continuous digital services, products, shared platforms, transformation programmes, operational capabilities, and long-term technology sustainability.

• Comparing annual project-based funding with product-based, capability-based, shared-service, outcome-oriented, and portfolio-based investment models.

• Establishing resource-allocation mechanisms that align financial, workforce, technology, procurement, and leadership capacity with strategic transformation priorities.

• Developing investment governance that evaluates operating-model changes according to affordability, public value, benefits, risks, sustainability, and institutional capability requirements.

Module 12: Institutional Change and Transformation Management

• Developing institutional transformation strategies that align leadership, organizational structures, processes, workforce, technology, governance, culture, communications, and stakeholder expectations.

• Assessing organizational readiness and identifying resistance, capability gaps, competing priorities, leadership challenges, cultural barriers, and operational risks.

• Designing change-management interventions that support adoption through communication, leadership sponsorship, training, participation, incentives, feedback, and continuous engagement.

• Establishing transformation monitoring mechanisms that measure adoption, capability development, organizational performance, service outcomes, and sustainability of institutional changes.

Module 13: Performance Management and Operating-Model Effectiveness

• Developing operating-model performance frameworks that connect organizational capability, service delivery, workforce productivity, technology performance, financial efficiency, and public outcomes.

• Establishing KPIs that measure service quality, process efficiency, decision effectiveness, organizational agility, capability maturity, technology reliability, and citizen experience.

• Creating management dashboards that enable executives to identify operating-model weaknesses, emerging constraints, resource problems, and opportunities for institutional improvement.

• Establishing continuous-improvement processes that use performance evidence, employee feedback, user research, analytics, audits, and lessons learned to refine operating models.

Module 14: Emerging Technology and Future Operating Models

• Assessing how artificial intelligence, generative AI, automation, cloud, digital agents, analytics, and intelligent platforms are changing government organizational structures and workflows.

• Designing responsible AI-enabled operating models with clear human accountability, governance, assurance, workforce responsibilities, data controls, and service-quality requirements.

• Exploring platform government, proactive services, digital public infrastructure, interoperable ecosystems, and shared digital capabilities as foundations for future public administration.

• Preparing institutions for continuous technology change through modular architecture, adaptable workforce capabilities, flexible governance, experimentation, learning, and strategic technology management.

Module 15: Emerging Issues in Institutional Transformation

• Examining emerging operating-model trends including AI-native government, outcome-based administration, cross-agency product teams, ecosystem governance, and increasingly automated public services.

• Assessing institutional risks involving automation dependency, workforce disruption, cybersecurity, digital exclusion, platform concentration, data governance, and loss of organizational knowledge.

• Exploring new models of government collaboration involving public-private ecosystems, shared capabilities, digital partnerships, common platforms, and distributed service delivery.

• Developing future-ready institutional strategies that preserve public accountability, democratic governance, resilience, inclusion, strategic capability, and citizen trust while enabling innovation.

Module 16: Government Operating Model Transformation Capstone

• Developing a comprehensive current-state operating-model assessment covering strategy, structure, governance, processes, workforce, capabilities, technology, data, funding, and service delivery.

• Designing a future-state government operating model with clear organizational structures, capabilities, service ownership, decision rights, technology foundations, funding, and performance measures.

• Creating an institutional transformation roadmap that sequences organizational, process, workforce, technology, governance, and capability changes according to readiness and strategic priorities.

• Presenting an executive transformation blueprint demonstrating how the redesigned operating model can improve government agility, service quality, efficiency, accountability, institutional capability, and public value.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.