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Duration 14 hours
Course Outline
What FDE Leadership Owns
- Focusing on outcomes rather than utilization
- Managing the tension between delivery and product
- Establishing mandate, reporting lines, and sponsorship
Pod Design and Staffing
- Determining pod shape, size, and autonomy
- Balancing skill mix across engineering, data, and domain
- Ensuring rotation and continuity between engagements
Hiring and Assessing FDEs
- Identifying signals of deployment aptitude
- Designing interviews and work samples
- Onboarding into live engagements
Engagement Economics
- Managing scoping, effort, and margin
- Choosing between time and materials versus outcome pricing
- Optimizing portfolio mix and managing concentration risk
The Internal FDE Playbook
- Codifying stages, gates, and deliverables
- Defining done and setting quality standards
- Maintaining and updating the playbook
Vendor FDE versus Internal Capability
- Identifying where vendor teams add the most value
- Contracting for knowledge transfer
- Building capability that outlasts the engagement
Reusable Accelerators and Blueprints
- Developing reference architectures and starter repositories
- Establishing pre-approved security and integration patterns
- Governing shared assets
Adoption and Outcome Governance
- Tracking adoption metrics and executive reporting
- Empowering steering groups with real decision rights
- Intervening in stalled engagements
Risk, Escalation, and Failure Patterns
- Recognizing failure modes by engagement stage
- Defining escalation paths and stop rules
- Conducting post-engagement reviews that drive practice changes
Building the Practice
- Creating career paths for forward deployed engineers
- Fostering standards, community, and knowledge sharing
- Developing a twelve-month capability roadmap
Requirements
- Experience managing engineers or technical delivery teams
- Involvement in customer-facing engagements
- Exposure to commercial decisions such as scoping and pricing
- No coding is required, though technical fluency is beneficial
Audience
- Engineering managers of forward deployed teams
- Delivery directors and practice leads
- Heads of applied AI or solutions engineering
- Transformation leaders building internal deployment capability