Sr. Deployment Strategist, FDE - Communications, Media, Entertainment & Gaming
About this role
Databricks needs a senior deployment strategist to bridge the gap between complex customer business problems and technical data and AI solutions within the communications, media, entertainment, and gaming sectors. Operating within a new strategic forward-deployed engineering initiative sponsored by executive leadership, this team focuses on winning high-value opportunities by delivering end-to-end production outcomes. The person in this role acts as the product manager for the customer engagement, translating multi-million-dollar challenges into actionable requirements while partnering closely with engineers.
Daily responsibilities involve leading technical discovery, defining pilot minimum viable products, authoring product requirements documents, and driving agile delivery processes from launch to full user adoption. Ideal candidates possess strong executive presence, hands-on technical fluency in tools like Python or SQL, and deep product judgment honed through years of delivering complex customer-facing data and AI engagements.
What you will do
- Partner with sales to perform deep discovery, map organizational landscapes, quantify business value, and define pilot success criteria.
- Author product requirements documents, prioritize engineering backlogs, manage project scope, and act as the primary hands-on QA tester.
- Drive the build team through agile delivery, manage stakeholders from the C-suite to engineers, and unblock technical or organizational hurdles.
- Lead technical discovery and design reviews to evaluate data flows, platform constraints, security parameters, and operational environments.
- Manage the Day 0 launch and war room while driving solutions toward full user adoption and production readiness.
- Codify reusable solution patterns and translate field insights back to internal product and engineering teams.
What you need
- Bring 7 or more years of experience delivering complex, customer-facing data, analytics, AI, or software engagements.
- Demonstrate executive presence and communication skills to build rapid rapport and advise senior stakeholders.
- Exhibit product judgment to define requirements, prioritize engineering work, manage scope, and lead complex agile software projects.
- Understand modern data and AI architectures, cloud platforms, distributed systems, security, and machine learning patterns.
- Maintain hands-on technical proficiency in at least one language such as Python, Java, or SQL to explore data and review code.
- Possess the willingness to work onsite with customers approximately 25 to 50 percent of the time or higher.
Skills and tech stack
Questions candidates ask
What is the remote or travel policy for this role?
This position requires working onsite with customers often between 25% and 50% of the time, and sometimes higher, to drive delivery.
What is the expected compensation range for this position?
The base salary range spans from $219,765 to $302,220 USD depending on the assigned pay zone and candidate factors such as skills and experience.
What kind of technical background is expected?
Candidates need a strong understanding of modern data and AI architectures along with hands-on proficiency in at least one language like Python, Java, or SQL.