Jobs / United States / Databricks

Data+AI Workforce Transformation Practitioner — Customer Delivery

Databricks · 🇺🇸 United States

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 445 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 78 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Databricks paid sponsored hires in similar roles4 certified filings for “Sr. Delivery Solutions Engineer” (Sales Engineers) in NY: $128k–$182k, median $142k. Most were filed at wage level II (33%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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445 H-1B filings certified since Oct 2025

The US Department of Labor certified 445 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 78 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Databricks →

About the role

CSQ327R12 Enterprise customers are investing in AI, but most are stuck between a successful pilot and real organizational adoption. The gap is not technology. It is whether the workforce can change how it works. 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. The Impact You Will Have • 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. What We Look For • 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. Pay Range Transparency 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

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Source: Greenhouse (employer board) First seen: 2026-10-06 Last confirmed: 2026-10-06 How our data works → Report this job

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