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 Duration 14 hours

Course Outline

Ownership in FDE Leadership

  • Focusing on outcomes rather than utilization.
  • Managing the tension between delivery and product.
  • Establishing 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 margin management.
  • Comparing time and materials versus outcome-based pricing.
  • Portfolio mix and concentration risk.

The Internal FDE Playbook

  • Codifying stages, gates, and deliverables.
  • Defining quality bars and criteria for completion.
  • Maintaining and evolving the playbook.

Vendor FDEs vs. Internal Capability

  • Identifying where vendor teams add the most value.
  • Contracting for effective knowledge transfer.
  • Building capability that endures 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.
  • Establishing steering groups with genuine decision rights.
  • 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.
  • Developing a twelve-month capability roadmap.

Requirements

  • Experience managing engineers or technical delivery teams.
  • Involvement in customer-facing engagements.
  • Familiarity with commercial decisions such as scoping and pricing.
  • No coding 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.

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