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.
Skills Required
- Substantial experience in analytics engineering, BI engineering, or financial data modeling
- Advanced SQL proficiency
- Record of delivering production data products
- Ability to lead ambiguous, cross-functional work from problem definition through adoption
- Proficiency with AI coding assistants and ability to review generated work effectively
- Practical experience with AI-assisted analytics
- Sound architectural judgment and disciplined development practices
- Experience mentoring others and influencing senior stakeholders
- 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
What the Team is Saying
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage with mental-health support and an EAP. Third-party benefits summaries also portray health coverage as a strong component of the package.
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Retirement Support — Offerings include a 401(k) with employer matching, cited on the careers page and independent benefits directories. Multiple sources indicate a match exists, though exact formulas have varied over time and warrant confirmation.
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Equity Value & Accessibility — Company communications describe equity for all full-time hires and stock benefits as part of total rewards. Independent listings also note company equity/RSUs as a standard element.
Shield AI Insights
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
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Shield AI Teams
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Shield AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
