Senior Analytics Engineer - Finance (R6185)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit [](https://shield.ai/). Follow Shield AI on [LinkedIn](https://www.linkedin.com/company/shield-ai), [X](https://x.com/shieldaitech), [Instagram](https://www.instagram.com/shield_ai), and [YouTube](https://www.youtube.com/@Shield_AI). ### Job Description: Shield AI is seeking a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance. You will independently shape analytical solutions, establish shared standards, and turn business priorities into AI-enabled decision support on our Databricks platform. This senior individual contributor role combines hands-on engineering with cross-functional influence and mentorship to expand Finance's impact. ### What you'll do: - Shape the analytics roadmap with Finance and GTM leaders, prioritizing high-impact products and resolving competing requirements. - Build governed datasets and semantic models that support reporting, planning, scenario analysis, and strategic decisions. - Set modeling and metric standards across domains, exercising judgment on architecture, quality, and maintainability. - Develop conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in trusted business context. - Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality. - Own business-facing reconciliation and acceptance, partnering with data engineering on reliable delivery. - Mentor engineers and Finance partners, strengthening technical practices and self-service capabilities. ### Required qualifications: - Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of delivering production data products. - Demonstrated ability to lead ambiguous, cross-functional work from problem definition through adoption. - Proficiency with AI coding assistants and sound judgment when reviewing generated work. - Practical experience with AI-assisted analytics, ideally Databricks Genie; adjacent Snowflake Cortex or comparable experience is welcome. - 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. - Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance. - Familiarity with enterprise planning, financial controls, or high-growth business environments.