Forward Deployment and Client Delivery

Joins client engagements as a supporting pod member and can explain how forward-deployed delivery works across embed, build, enable and expand phases. Talks through what makes a candidate GenAI use case worth pursuing, outlines deployment and build-versus-configure options, points to common integration surfaces and dev/test/prod promotion, retrieves Trust Center and data-handling assurances when asked, and runs a clean, audience-appropriate Claude demo under supervision.

Works inside a client account on a defined workstream. Runs structured discovery conversations with business and technical stakeholders, maps workflows to Claude capability patterns, checks data readiness and access limits, and turns findings into testable success criteria and value/effort rankings. Scopes small POCs, drafts solution architectures, stands up tenancy access and identity integration, builds to client tooling and code standards, supports security reviews, and writes clear status and runbook artifacts.

Owns end-to-end delivery of Claude features inside client codebases and change processes. Leads discovery workshops to a prioritized portfolio, frames value hypotheses with baselines and ROI, proves feasibility through spikes, and says no where value, feasibility or risk fails. Selects platforms against residency and procurement constraints, plans phased POC-to-production paths, sizes run cost, builds monitoring, upgrade and least-privilege controls for regulated workflows, trains client teams and mentors associates.

Accountable for engagement quality across a pod and its client relationships. Challenges use-case portfolios and architectures against reference patterns for strategic fit and delivery risk, arbitrates scope and technical trade-offs with client architects, chairs production-readiness and go-live reviews, and leads incident response with client teams when AI features fail. Closes governance gaps before scale-up, steers stakeholders through delivery friction, delivers executive readouts, and builds pod capability.

Operates at practice and client-executive level across concurrent engagements. Shapes multi-year AI adoption roadmaps with executive sponsors and serves as trusted counsel on AI direction and governance for their programs. Holds architecture governance across the portfolio, contributes reference architectures and accelerators to the practice library, sets definition-of-done and quality gates for delivery, and defines practice strategy spanning offerings and the certification pipeline.