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Databricks

Sr. Deployment Strategist, FDE - Healthcare & Life Sciences

Databricks
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hybrid senior full-time $219,765-$302,220 USD United States

First indexed 22 Sept 2026

Description

You will be part of the founding team of the Forward Deployed Engineering (FDE) initiative, working closely with strategic customers to deliver high-value AI solutions.

As a Deployment Strategist, you will be the critical bridge between a customer's business problem and Databricks' technical solution, owning the technical and product direction of the engagement from initial discovery to production launch and adoption.

Responsibilities:

  • Partner with Sales to perform deep discovery, map the customer's organisation, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline.
  • Author the PRD, prioritise the engineering backlog, manage scope, and act as the primary hands-on QA tester.
  • Drive the FDE build team through an agile delivery process, manage stakeholders from the C-suite to individual engineers, and unblock technical or organisational issues.
  • Own the "Day 0" launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value.
  • Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement.

Requirements:

  • Executive presence and excellent communication skills.
  • Strong product judgment and delivery skills.
  • Technical fluency and architecture judgment, including modern data and AI architectures.
  • Hands-on technical ability, proficient in at least one language such as Python, Java, or SQL.
  • Typically 7+ years of experience delivering complex, customer-facing data, analytics, AI, or software engagements.

Benefits:

  • Comprehensive benefits and perks that meet the needs of all employees.

Pay Range: $219,765-$302,220 USD

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8687873002