Description
Enterprise customers are investing in AI, but most are stuck between a successful pilot and real organisational adoption.
You will own end-to-end workforce transformation engagements with Databricks' largest customers.
The Impact You Will Have
- 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, managing a mixed portfolio simultaneously.
- Design for multiple organisational layers within a single engagement, building executive sponsorship and architecting the manager enablement and individual contributor adoption layers.
- Drive execution, not just planning, standing up the operating rhythm, coaching internal champions, unblocking adoption barriers, and adjusting the plan as needed.
- Design the human-agent collaboration model for each customer's workforce, assessing workflows and distinguishing what should stay human from what should be automated.
- Shape how engagements are scoped and priced, ensuring 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.
What We Look For
- 8 or more years leading workforce or organisational transformation in a technology adoption context.
- Experience leading conversations with C-suite or VP-level sponsors and influencing how organisations adopt technology at scale.
- A background in professional services, management consulting, or customer success is a plus.
- Familiarity with data and AI platforms and the enterprise adoption challenges they create.
- Experience measuring behaviour change tied to business value.
Pay Range Transparency The pay range for this role is: Zone 1 Pay Range $143,700-$197,550 USD Zone 2 Pay Range $129,300-$177,750 USD Zone 3 Pay Range $122,200-$167,950 USD Zone 4 Pay Range $115,000-$158,050 USD
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/databricks/jobs/8859666002