Data+AI Workforce Transformation Practitioner — Customer Delivery

About this role

CSQ327R12 Enterprise customers are investing in AI, but most are stuck between a successful pilot and real organizational adoption. The gap is not technology. It is whether the workforce can change how it works. You will own end-to-end workforce transformation engagements with Databricks' largest customers. You will diagnose where a customer's workforce is today, define what needs to change, build the transformation plan, and drive execution until adoption sticks.

You are the directly responsible individual for each engagement, not a contributor to someone else's project. The Impact You Will Have 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.

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. What We Look For 8 or more years leading workforce or organizational transformation in a technology adoption context. You have executed transformations and owned outcomes, not just designed programs.