Data AI Workforce Transformation Practitioner Customer Delivery

5 hours agoLeadSalary: 115K - 198KUnited StatesOtherJobs by Databricks

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own workforce transformation engagements from assessment through capability pathways, operating rhythm, measurement, and adoption. You will manage multiple customer engagements, build executive sponsorship, coach internal champions, remove adoption barriers, design human-agent collaboration models, scope commercial commitments, and create reusable delivery tools and playbooks.

Requirements

  • 8+ years leading workforce or organizational transformation in a technology adoption context
  • Experience influencing C-suite or VP-level sponsors
  • Hands-on transformation delivery experience
  • Ability to assess workflows and design capability pathways
  • Change management knowledge, including sponsorship, adoption, resistance, and internal champion models
  • Commercial scoping and pricing experience
  • Familiarity with data and AI platforms and enterprise adoption challenges

Responsibilities

  • Own the transformation lifecycle from workforce assessment through measurement
  • Manage concurrent customer transformation engagements
  • Build executive sponsorship and manager and individual contributor adoption layers
  • Establish operating rhythms, coach internal champions, and remove adoption barriers
  • Design human-agent collaboration models and capability pathways
  • Shape engagement scope and pricing
  • Create repeatable tools and playbooks
  • Partner with deployment, transformation, and account teams

Benefits

  • Annual performance bonus eligibility
  • Equity eligibility