# Data+AI Workforce Transformation Practitioner — Customer Delivery at Databricks

- Company: Databricks
- Status: Open
- Workplace: On-site
- Location: United States
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Salary: $115K–198K
- Posted: 2026-10-06
- Skills: AI, Databricks
- Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=8859666002

## Description

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

More Databricks roles: https://deviantjobs.com/companies/databricks