Description

This curriculum spans the breadth of a multi-workshop technology transformation program, addressing the same strategic, governance, and operational challenges encountered in large-scale infrastructure modernization efforts across enterprise IT organizations.

Module 1: Defining Technology Vision and Strategic Alignment

Selecting core enterprise systems to retain, replace, or integrate based on business capability roadmaps and legacy system obsolescence timelines.
Negotiating conflicting priorities between business units when aligning infrastructure investments with multi-year strategic goals.
Mapping existing IT assets to value streams to identify redundancies and misalignments with future-state operating models.
Establishing threshold criteria for technology investments that require board-level approval versus delegated authority.
Integrating regulatory and compliance requirements into the technology vision to prevent downstream rework.
Documenting technology principles (e.g., cloud-first, API-led) and enforcing adherence across project initiation gates.
Conducting stakeholder alignment workshops to resolve divergent interpretations of digital transformation objectives.

Module 2: Enterprise Architecture Governance and Standards

Enforcing architectural review board (ARB) decisions when project teams propose non-compliant technology stacks.
Developing and maintaining a catalog of approved technology patterns for integration, security, and data management.
Managing exceptions to enterprise standards with documented risk assessments and sunset plans.
Integrating architecture governance into project delivery lifecycle gates to prevent bypassing compliance.
Resolving conflicts between agility demands and standardization requirements in DevOps environments.
Updating architecture blueprints in response to mergers, acquisitions, or divestitures.
Measuring adherence to standards through automated tooling and audit reports.

Module 3: Cloud Strategy and Hybrid Environment Design

Determining data residency requirements and selecting cloud regions to comply with jurisdictional regulations.
Deciding between single-cloud, multi-cloud, and hybrid models based on workload characteristics and vendor lock-in risk.
Designing secure interconnectivity between on-premises data centers and public cloud environments using direct connects or SD-WAN.
Establishing cost allocation models and chargeback mechanisms for cloud usage across business units.
Implementing landing zones with standardized networking, identity, and logging configurations.
Defining data egress policies and monitoring tools to control bandwidth costs and data transfer risks.
Planning for cloud exit strategies, including data portability and contract renegotiation triggers.

Module 4: Data Infrastructure and Integration Architecture

Selecting between ETL, ELT, and streaming pipelines based on data latency, volume, and source system constraints.
Designing canonical data models to enable consistent semantics across disparate systems.
Implementing API gateways with rate limiting, authentication, and audit logging for internal and external consumers.
Choosing between centralized data warehouses, data lakes, and data mesh architectures based on organizational maturity.
Managing schema evolution in shared data contracts to prevent downstream processing failures.
Establishing data ownership and stewardship roles for critical enterprise data domains.
Deploying integration middleware with failover and message replay capabilities for business continuity.

Module 5: Cybersecurity and Resilience Planning

Implementing zero-trust network access (ZTNA) controls for remote users and third-party vendors.
Designing backup and recovery strategies with defined RPOs and RTOs for critical applications.
Conducting tabletop exercises to validate incident response plans for ransomware and data breaches.
Enforcing encryption standards for data at rest and in transit across cloud and on-premises environments.
Integrating security into CI/CD pipelines through automated vulnerability scanning and policy checks.
Managing privileged access to infrastructure using just-in-time provisioning and session monitoring.
Aligning cyber resilience measures with business continuity and disaster recovery frameworks.

Module 6: Technology Sourcing and Vendor Management

Structuring RFPs for infrastructure-as-a-service with measurable SLAs and penalty clauses.
Negotiating intellectual property rights for custom-developed components hosted on vendor platforms.
Establishing vendor performance scorecards with regular governance reviews and exit triggers.
Managing multi-vendor accountability in end-to-end service delivery chains.
Conducting due diligence on vendor financial stability and cybersecurity posture before contract award.
Defining data ownership and access rights during vendor contract termination or transition.
Creating transition plans for migrating workloads from legacy vendors to new providers.

Module 7: Change Enablement and Organizational Readiness

Redesigning IT operating models to align with new technology delivery mechanisms such as platform engineering.
Assessing skill gaps in infrastructure teams and planning targeted upskilling or hiring initiatives.
Implementing internal service catalogs with clear SLAs to improve transparency with business stakeholders.
Managing resistance from operations teams during automation initiatives that reduce manual intervention.
Establishing center of excellence (CoE) structures to disseminate best practices and maintain standards.
Designing communication plans to explain infrastructure changes to non-technical stakeholders.
Introducing new tools and processes in pilot business units before enterprise-wide rollout.

Module 8: Performance Monitoring and Continuous Optimization

Defining and tracking infrastructure KPIs such as system availability, mean time to recovery, and cost per transaction.
Implementing observability tooling with correlated metrics, logs, and traces across hybrid environments.
Conducting regular technical debt assessments to prioritize infrastructure modernization efforts.
Optimizing cloud spend through rightsizing, reserved instances, and automated shutdown policies.
Using synthetic monitoring to detect performance degradation before user impact.
Reviewing architecture decisions quarterly to adapt to changing business and technology conditions.
Establishing feedback loops from operations teams into design and planning processes.