Data+AI Workforce Transformation Practitioner — Customer Delivery

United States · California · Remote · Posted Oct 6, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Enterprise customers are investing in AI, but most are stuck between a successful pilot and real organizational adoption where workforce change is needed.
You will own end-to-end workforce transformation engagements with Databricks' largest customers as the directly responsible individual.
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.

Own the full transformation lifecycle for each customer, from workforce assessment through capability pathways, operating rhythm, and measurement.
Run 2 to 3 concurrent engagements across different formats ranging from short-cycle assessments to coached transformations and deep embedded engagements.
Design for multiple organizational layers within a single engagement, building executive sponsorship with CDOs, CIOs, and CHROs while architecting manager enablement and individual contributor adoption.
Drive execution by standing up the operating rhythm, coaching internal champions, unblocking adoption barriers, and adjusting the plan when reality diverges from the model.
Design the human-agent collaboration model for each customer's workforce, assessing workflows and distinguishing what stays human from what is automated, agent-assisted, or fully agent-led.
Shape how engagements are scoped and priced to ensure commercial commitments are deliverable.
Turn learnings into repeatable tools and playbooks that can scale beyond practitioner-led delivery.
Partner with technical deployment, AI transformation, and account teams to own what happens after solutions are built and landed.

8 or more years leading workforce or organizational transformation in a technology adoption context.
Experience leading conversations with C-suite or VP-level sponsors and influencing how organizations adopt technology at scale.
Background executing transformations and owning outcomes, including customer-side data or engineering leaders who drove transformation, former solutions architects or engineers who moved into transformation roles, or consultants with hands-on delivery experience.
Ability to assess a workflow, identify what needs to change, and design the capability pathway to get there.
Understanding of change management, including sponsorship models, adoption curves, resistance patterns, and how to build internal champions.
Comfort with ambiguity and building the playbook as you go.
Comfort with commercial conversations, including engagement scoping, pricing input, and ensuring delivery commitments are realistic.
Familiarity with data and AI platforms and the enterprise adoption challenges they create.

A background in professional services, management consulting, or customer success.
Experience measuring behavior change tied to business value, not just completions or satisfaction scores.