Introduction
Digital transformation requires leadership that can connect organizational strategy with beneficiary needs and workforce capabilities. Selecting technology is one step in a broader process that includes reviewing procedures, developing ways of working, defining responsibilities, and building a culture that supports learning, experimentation, and data-informed decisions.
This program focuses on the leader's practical role in assessing organizational readiness, formulating a transformation vision, prioritizing initiatives, and managing change with stakeholders. It addresses the use of data and artificial intelligence within clear controls and concludes with an implementation plan and indicators for monitoring progress and measuring results.
Learning objectives
- Analyze the organization's readiness for digital transformation and identify opportunities to improve performance and beneficiary experience based on clear evidence.
- Formulate a leadership vision for transformation and translate it into initiatives prioritized by expected value, feasibility, and risk.
- Prepare a change leadership plan defining stakeholders, communication messages, and mechanisms for addressing resistance and building capacity.
- Use data and artificial intelligence tools to support decisions while considering information quality, privacy, and human review.
- Build an implementation roadmap and measurement indicators that support initiative monitoring, impact evaluation, and sustained improvement.
Learning areas
1. Digital Leadership and Organizational Readiness Assessment
- Distinguish information digitization, procedure automation, and business model transformation, identifying the leadership decisions required at each level.
- Define leadership roles in sponsorship, direction, and accountability, and allocate responsibilities among operational, technology, and human resources departments.
- Assess readiness across strategy, skills, procedures, data, and technology, distinguishing available evidence from impressions.
- Analyze the beneficiary journey to identify bottlenecks, repeated steps, and opportunities to simplify services before selecting a digital solution.
- Define a specific transformation problem covering the baseline, affected group, intended result, and scope of intervention.
2. Building the Vision and Strategy and Prioritizing Initiatives
- Formulate a transformation vision connected to the organization's mission and beneficiary needs that explains the value to be achieved.
- Translate the vision into measurable objectives, distinguishing activity completion from achievement of organizational results.
- Inventory and prioritize initiatives using a matrix combining expected impact, resources, readiness, risks, and interdependencies.
- Prepare an initiative charter defining scope, deliverables, owner, participating parties, success criteria, and authority limits.
- Select an initial initiative suitable for piloting, and define review gates and conditions for continuing, adjusting, or stopping.
3. Leading Change and Building Engagement and Capabilities
- Analyze the effects of change on jobs, procedures, and skills, identifying the groups most affected inside and outside the organization.
- Map stakeholders by influence and interest, and define the responsibilities of sponsors, managers, and team leaders.
- Design a communication plan explaining the reasons for change, its benefits, required steps, and channels for receiving and responding to feedback.
- Diagnose causes of resistance, such as unclear roles, skill shortages, or workload, and connect each cause to an appropriate response.
- Build a capability development and implementation support plan, measuring actual use and new behaviors beyond training attendance.
4. Data-Informed Decisions and Responsible Use of Artificial Intelligence
- Identify the data needed for the decision, its sources and owner, and review accuracy, completeness, currency, and consistency of definitions.
- Read performance indicators and compare results with the baseline, examining alternative explanations before attributing improvement to the initiative.
- Select AI use cases based on a specific problem and testable value, assessing the suitability of simpler alternatives.
- Define controls for privacy, information security, permissions, and output verification, keeping decision responsibility and human review clear.
- Prepare a limited-scope pilot covering quality criteria, risks, usage limits, and the method for documenting results before expansion.
5. Implementation, Impact Measurement, and Sustaining Transformation
- Build a 90-day implementation roadmap defining work phases, responsible parties, resources, and required approvals.
- Develop a dashboard combining implementation progress, adoption, service quality, and outcomes, defining calculation methods, data sources, and measurement frequency.
- Track the risk and obstacle register, and define mechanisms for escalation, decision-making, and updating priorities during implementation.
- Organize periodic reviews to capture lessons and adjust procedures, and establish clear conditions for scaling the pilot.
- Present an applied project connecting the problem with the initiative, change plan, and indicators, and formulate follow-up commitments that can be reviewed within the organization.
Practical outputs
- An initial readiness and improvement opportunity assessment matrix covering a defined problem, baseline, and intended result.
- A digital transformation initiative charter explaining priority, scope, deliverables, responsibilities, and success criteria.
- A stakeholder map and a plan for communication, engagement, resistance management, and capability development.
- A register of controls and risks for data and AI use, with criteria for human review and piloting.
- A 90-day implementation plan and dashboard defining data sources, implementation owners, and review dates.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in leadership, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Leadership in the Era of Digital Transformation: Strategies for Change” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Leadership in the Era of Digital Transformation: Strategies for Change” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.