Data+AI Workforce Transformation Practitioner — Customer Delivery

Databricks · United States · Education & Training · listed October 6, 2026

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The shape of it

Seniority
Not stated
Where
Not stated
Stated pay
$143,700 – $197,550 USD
Requirements listed
10
Length
882 words

In the posting’s own words

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.

What it asks for · 10

  • 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.
  • You have led conversations with C-suite or VP-level sponsors and influenced how organizations adopt technology at scale.
  • You have done the work, not just designed a curriculum about it. The strongest backgrounds include customer-side data or engineering leaders who drove transformation, former solutions architects or engineers who moved into transformation roles, and consultants with hands-on delivery experience.
  • You can assess a workflow, identify what needs to change, and design the capability pathway to get there.
  • You understand change management, including sponsorship models, adoption curves, resistance patterns, and how to build internal champions.
  • You are comfortable with ambiguity. You will be building the playbook as you go, not executing a mature one.
  • You are comfortable 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 is a plus.
  • Experience measuring behavior change tied to business value, not just completions or satisfaction scores, is a plus.

What the job covers

  • 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.

Tools and skills named

Data
  • Databricks
Go to market
  • Customer success

Words the posting leans on

  • transformation9×
  • adoption7×
  • engagements7×
  • customer6×
  • workforce6×
  • change5×
  • build4×
  • design4×
  • delivery3×
  • model3×
  • organizational3×
  • pathways3×
  • plan3×
  • technology3×
  • weeks3×
  • workflow3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched October 6, 2026 and last changed by Databricks on October 6, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.