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 www.shield.ai 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:
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- 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:
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- Bachelor’s degree in computer science or a related technical or quantitative field and a minimum of 5 years of related experience OR Master's and a minimum of 3 years of related experience.
- 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:
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- 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.
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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