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Duration 14 hours
Course Outline
The Scope of FDE Leadership
- Focus on outcomes rather than utilization
- Managing the balance between delivery and product
- Defining mandate, reporting lines, and sponsorship
Pod Design and Staffing
- Pod structure, size, and autonomy
- Skill mix across engineering, data, and domain expertise
- Rotation and continuity across engagements
Hiring and Assessing FDEs
- Identifying signals of deployment aptitude
- Designing interviews and work samples
- Onboarding into live engagements
Engagement Economics
- Scoping, effort estimation, and margins
- Time and materials vs. outcome-based pricing
- Portfolio mix and concentration risk
The Internal FDE Playbook
- Codifying stages, gates, and deliverables
- Defining completion criteria and quality standards
- Maintaining playbook relevance
Vendor FDEs vs. Internal Capability
- Identifying where vendor teams add maximum value
- Contracting for knowledge transfer
- Building capability that persists beyond the engagement
Reusable Accelerators and Blueprints
- Reference architectures and starter repositories
- Pre-approved security and integration patterns
- Governing shared assets
Adoption and Outcome Governance
- Tracking adoption metrics and executive reporting
- Steering groups with genuine decision-making authority
- Intervening in stalled engagements
Risk, Escalation, and Failure Patterns
- Failure modes by engagement stage
- Escalation paths and stop rules
- Post-engagement reviews that drive practice improvement
Building the Practice
- Career paths for forward deployed engineers
- Establishing standards, community, and knowledge sharing
- Creating 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 required, though technical fluency is beneficial
Target 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
