Senior Deployment Strategist – Healthcare & Life Sciences

This is a fully remote position, open to applicants in California.

📋 Description

• Collaborate with Sales to conduct thorough discovery, map customer organizations, quantify the business value of problems exceeding $10M, and define pilot projects with MVPs, success criteria, and timelines.

• Take ownership of the complete product direction from initial discovery to production launch and subsequent adoption.

• Create PRDs, prioritize the engineering backlog, manage project scope, and carry out hands-on QA testing.

• Convert business requirements into data, integration, security, and operational specifications.

• Lead FDE build teams through agile delivery while managing stakeholders from C-suite executives to engineers.

• Facilitate technical discovery and design reviews; assess architectures, technical trade-offs, and risks.

• Oversee Day 0 launches, manage war rooms, promote adoption, gather feedback, and demonstrate business value.

• Ensure production readiness across data quality, testing, security, performance, and operational aspects.

• Define maintenance plans, develop customer documentation and training, identify further FDE engagements, codify reusable solution patterns, and communicate field insights to Product and Engineering.

⛳️ Requirements

• Typically possess 7+ years of experience in delivering complex, customer-facing data, analytics, AI, or software projects, or equivalent experience as a founder or technical builder.

• Demonstrated experience in delivering data, machine learning, or generative AI systems into production.

• Understanding of integration, operational, and adoption challenges in real-world environments.

• Familiarity with modern data and AI architectures, including cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, as well as machine learning and generative AI application patterns.

• Proficiency in at least one programming language, such as Python, Java, or SQL.

• Capability to explore data, work in notebooks, read and review code and pipelines, build or modify prototypes, and contribute to troubleshooting efforts.

• Ability to define product requirements, prioritize engineering tasks, manage project scope, and lead complex agile software initiatives.

• Strong executive presence along with excellent communication abilities.

• Willingness to work onsite with customers, often 25–50% of the time, and sometimes more.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity opportunities.

• Comprehensive benefits and perks; specific regional details will be provided by Databricks.

• Commitment to equal employment opportunity and inclusive hiring practices.