Databricks: Data+AI Workforce Transformation Practitioner — Customer Delivery — United States

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Data+AI Workforce Transformation Practitioner — Customer Delivery in United States, under reference 8859666002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Education & Training
• Employer listing date: 6 October 2026

Responsibilities and work described

• 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)
• Management: 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
• 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

Essential requirements and candidate background

• 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
• 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: data and AI platforms and the enterprise adoption challenges they create
• Pay Range Transparency
• 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

Preferred experience and additional strengths

• 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Databricks is committed to fair and equitable compensation practices
• The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles
• Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location
• Based on the factors above, Databricks anticipated utilizing the full width of the range
• The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above
• For more information regarding which range your location is in visit our page here
• Advertised location: United States

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Data+AI Workforce Transformation Practitioner — Customer Delivery vacancy is not an offer for reference 8859666002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8859666002.

Compare your qualifications and experience with the essential conditions for the United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Excel

Excel examples should identify the task, the data and the checks used to avoid an incorrect result. Explain whether you built a reporting workbook, reconciled records, automated a process or maintained an existing model.

Relevant skills

• AI/ML
• Excel
• AI
• embedded systems
• compliance
• training
• pricing