Senior AI Deployment Strategist, Public Sector

AI Chopping Block

Washington, Northern (District of Columbia, KY)

Hybrid

USD 220,000 - 302,000

Full time

5 days ago
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Job summary

Databricks seeks a Sr. Deployment Strategist, FDE - Public Sector, to bridge business problems with technical solutions. You will own the product direction, write the PRD, and collaborate with a cross-functional team to move from discovery to production.

You will build C-suite trust, scope value, and drive adoption, while managing risks and ensuring Day 0 readiness with data quality, security, and operations in mind.

Qualifications

  • You are a trusted advisor with executive presence and excellent communication.
  • You can define what to build, write PRDs, prioritize work, and lead complex agile software projects.
  • You understand modern data and AI architectures, cloud platforms, data pipelines, and security/governance.
  • You are proficient in Python, Java, or SQL and can prototype or troubleshoot.
  • Typically 7+ years delivering data, analytics, AI, or software engagements, or equivalent experience.
  • You enjoy onsite work with customers (often 25–50%) to drive delivery and impact.

Responsibilities

  • C-Suite scoping and value definition with Sales and stakeholders.
  • End-to-End product ownership, backlog prioritization, and QA oversight.
  • Lead technical discovery, design reviews, and architecture decisions.
  • Own the Day 0 launch, production readiness, and adoption measurement.
  • Strategic handoff, documentation, training, and identification of next engagements.

Skills

Executive Presence
Product Judgment
Technical Architecture
Hands-on Coding
Stakeholder Management
Delivery Leadership

Job description

Databricks seeks a Sr. Deployment Strategist, FDE - Public Sector, to bridge business problems with technical solutions. You will own the product direction, write the PRD, and collaborate with a cross-functional team to move from discovery to production.

You will build C-suite trust, scope value, and drive adoption, while managing risks and ensuring Day 0 readiness with data quality, security, and operations in mind.

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