Data+AI Workforce Transformation Practitioner — Customer DeliveryActive$144K
The opportunity
Enterprise customers are investing in AI, but most are stuck between a successful pilot and real organizational adoption. The gap is not technology.
What you'll do
Own the full transformation lifecycle for each customer, from workforce: assessment through capability pathways, operating rhythm, and measurement. You build the plan and you execute it.
Run 2 to 3 concurrent engagements across different formats. These range from: short-cycle assessments (2 to 4 weeks) to coached transformations (8 to 12 weeks) to deep embedded engagements (12 to 16 weeks). You will manage a mixed portfolio simultaneously.
Design for multiple organizational layers within a single engagement. That: means building executive sponsorship with CDOs, CIOs, and CHROs while also architecting the manager enablement and individual contributor adoption layers underneath.
Drive execution, not just planning. You will stand up the operating rhythm,: coach internal champions, unblock adoption barriers, and adjust the plan when reality diverges from the model.
Design the human-agent collaboration model for each customer's workforce.: Assess workflows and distinguish what should stay human from what should be automated, agent-assisted, or fully agent-led. Design differentiated pathways for builders in technical roles and users in workflow roles.
Shape how engagements are scoped and priced. You are closest to the work and: will ensure that commercial commitments are deliverable.
What they're looking for
- Turn what you learn into repeatable tools and playbooks that can scale beyond practitioner-led delivery.
- Partner with technical deployment, AI transformation, and account teams.: Other teams build and land the solution. You own what happens after.
- or more years leading workforce or organizational transformation in a: technology adoption context. You have executed transformations and owned outcomes, not just designed programs.
- You have led conversations with C-suite or VP-level sponsors and influenced: how organizations adopt technology at scale.