Senior Deployment Strategist – Healthcare & Life Sciences

🔥 56 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $219.8k - $302.2k / year

⏰ Full Time

🟠 Senior

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Partner with Sales to perform deep discovery, map customer organizations, quantify the business value of $10M+ problems, and define pilots with MVPs, success criteria, and timelines • Own end-to-end product direction from initial discovery through production launch and adoption • Author PRDs, prioritize engineering backlogs, manage scope, and perform hands-on QA testing • Translate business requirements into data, integration, security, and operational requirements • Drive FDE build teams through agile delivery and manage stakeholders from C-suite executives to engineers • Lead technical discovery and design reviews; evaluate architectures, technical trade-offs, and risks • Own Day 0 launches, manage war rooms, drive adoption, capture feedback, and prove business value • Own production readiness across data quality, testing, security, performance, and operations • Scope maintenance plans, create customer documentation and training, identify additional FDE engagements, codify reusable solution patterns, and relay field insights to Product and Engineering

🎯 Requirements

• Typically 7+ years of experience delivering complex, customer-facing data, analytics, AI, or software engagements, or equivalent experience as a founder or technical builder • Experience delivering data, machine learning, or generative AI systems into production • Understanding of integration, operational, and adoption challenges in real environments • Understanding of modern data and AI architectures, including cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, machine learning, and generative AI application patterns • Proficiency in at least one language, such as Python, Java, or SQL • Ability to explore data, work in notebooks, read and review code and pipelines, build or adapt prototypes, and contribute to troubleshooting • Ability to define product requirements, prioritize engineering work, manage scope, and lead complex agile software projects • Strong executive presence and excellent communication skills • Willingness to work onsite with customers, often 25–50% and sometimes higher

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks; specific regional details provided by Databricks • Equal employment opportunity and inclusive hiring practices

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