Description

This curriculum spans the design and execution of technology strategy in complex organisations, comparable to a multi-workshop advisory engagement that integrates enterprise architecture, governance, and change leadership across business and IT functions.

Module 1: Aligning Technology Strategy with Corporate Objectives

Define technology investment criteria based on business unit KPIs and long-term market positioning goals.
Map existing IT capabilities to core value chain activities to identify misalignments with strategic priorities.
Facilitate executive workshops to reconcile conflicting objectives between business and technology leadership.
Establish a governance process for technology initiatives that requires linkage to at least one corporate strategic pillar.
Develop a scoring model to prioritize projects based on strategic impact, feasibility, and dependency risks.
Institutionalize quarterly strategy recalibration sessions where technology roadmaps are stress-tested against new market data.
Integrate technology performance metrics into enterprise balanced scorecards for executive reporting.

Module 2: Assessing and Modernizing Legacy Technology Landscapes

Conduct technical debt audits using code quality, integration fragility, and support cost benchmarks.
Determine retirement timelines for legacy systems by evaluating vendor end-of-life dates and internal skill availability.
Design migration paths for monolithic applications considering data integrity, downtime tolerance, and compliance requirements.
Negotiate exit clauses and data portability terms with legacy software vendors during contract renewals.
Implement abstraction layers to decouple business logic from aging platforms during phased replacement.
Allocate budget for parallel run environments to validate functionality during cutover to modern systems.
Establish a technical review board to approve exceptions for maintaining unsupported systems.

Module 3: Designing Scalable Enterprise Architecture

Select integration patterns (APIs, event streaming, batch) based on data latency requirements and system coupling constraints.
Define domain boundaries in a microservices architecture using business capability modeling and team ownership.
Enforce architectural standards through automated policy checks in CI/CD pipelines.
Balance central control with decentralized innovation by defining core vs. context services.
Specify data ownership and stewardship roles across business units and technical teams.
Implement observability requirements (logging, tracing, monitoring) as non-negotiable for production deployment.
Conduct architecture review boards for all projects exceeding predefined complexity thresholds.

Module 4: Governing Digital Transformation Programs

Assign decision rights for cross-functional initiatives using a RACI matrix involving business, IT, and compliance.
Structure program governance with stage-gate reviews tied to funding disbursement.
Define escalation paths for resolving resource conflicts between transformation initiatives and BAU operations.
Implement portfolio dashboards that track budget burn, milestone adherence, and benefit realization forecasts.
Appoint transformation office leads with authority to reallocate resources across siloed projects.
Establish change control boards to evaluate scope changes that impact architecture or compliance.
Conduct post-implementation reviews to update organizational lessons learned and refine future governance.

Module 5: Managing Technology Vendor Ecosystems

Negotiate multi-year contracts with performance-based penalties and exit assistance clauses.
Conduct vendor health assessments using financial stability, innovation pipeline, and customer reference checks.
Define integration responsibilities in vendor SLAs, including API availability and data format compliance.
Mandate source code escrow agreements for critical custom-developed vendor solutions.
Implement a vendor rationalization program to reduce redundancy and licensing sprawl.
Structure joint steering committees with strategic vendors to align roadmaps and resolve disputes.
Enforce security and audit requirements in vendor contracts, including third-party penetration testing access.

Module 6: Enabling Data-Driven Decision Making

Design data governance councils with representatives from legal, IT, and business units to approve data classification.
Implement data lineage tracking to support regulatory audits and root cause analysis.
Select data warehouse vs. data lake approaches based on query patterns, data types, and user skill levels.
Define metrics ownership and calculation logic in a centralized business glossary to prevent misinterpretation.
Deploy self-service analytics platforms with role-based access and data usage monitoring.
Establish data quality rules and automated validation checks at ingestion points.
Integrate predictive models into operational workflows with clear feedback loops for model retraining.

Module 7: Securing Technology Transformation Initiatives

Embed security requirements into project charters and allocate budget for penetration testing.
Conduct threat modeling during design phases for new applications and integrations.
Implement zero-trust network architectures for hybrid cloud environments with strict identity verification.
Define incident response playbooks specific to transformation systems and test them quarterly.
Require third-party vendors to provide SOC 2 or equivalent compliance documentation.
Enforce secure coding standards through static and dynamic analysis tools in development pipelines.
Establish data residency rules based on jurisdictional regulations and negotiate cloud provider commitments.

Module 8: Leading Organizational Change in Technology Adoption

Identify change champions in each business unit to co-develop training and support materials.
Conduct readiness assessments before go-live to evaluate process familiarity and skill gaps.
Design role-based training programs that simulate real workflows using test data environments.
Implement feedback loops through user support tickets and adoption analytics to refine change tactics.
Adjust performance incentives to reward use of new systems and processes.
Manage communication cadence across leadership, managers, and end users using tailored messaging.
Track adoption metrics such as login frequency, feature usage, and error rates to identify intervention points.