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Shield AI is a venture-backed defense-tech company developing autonomous systems, aircraft, and simulation technologies to protect service members and civilians. The company operates globally with offices across the U.S., Europe, the Middle East, and Asia-Pacific.
In this Senior Analytics Engineer role, you will shape the analytics roadmap in partnership with Finance and GTM leadership, prioritizing high-impact initiatives and balancing competing requirements. You'll build governed datasets and semantic models that enable reporting, financial planning, scenario analysis, and strategic decision-making across the organization.
Key responsibilities include:
- Establishing modeling and metric standards across analytics domains, exercising architectural judgment on quality and maintainability
- Developing conversational analytics and AI-enabled workflows using tools like Databricks Genie, grounded in trusted business context
- Leveraging AI coding assistants to accelerate delivery while maintaining rigorous validation and quality standards
- Owning business-facing reconciliation and acceptance, partnering with data engineering to ensure reliable delivery
- Mentoring analytics engineers and Finance partners to strengthen technical practices and enable self-service analytics capabilities
- Leading ambiguous, cross-functional work from problem definition through adoption
You'll work at the intersection of finance, analytics, and AI, helping the organization make data-driven strategic decisions in a high-growth, defense-tech environment.
REQUIREMENTS:
- Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL proficiency and a track record of delivering production data products
- Demonstrated ability to lead ambiguous, cross-functional initiatives from problem definition through adoption
- Proficiency with AI coding assistants and sound judgment when reviewing AI-generated work
- Practical experience with AI-assisted analytics, ideally Databricks Genie (Snowflake Cortex or comparable experience acceptable)
- Sound architectural judgment, disciplined development practices, and experience mentoring others and influencing senior stakeholders
PREFERRED QUALIFICATIONS:
- Experience with Databricks, Python, semantic layers, or AI application development
- Background supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance
- Familiarity with enterprise planning, financial controls, or high-growth business environments
