Lead the design and delivery of governed data products for Finance and GTM teams. Build datasets, semantic models, reporting and planning solutions, and AI-enabled analytics workflows on Databricks. Establish modeling, metric, architecture, and quality standards; manage reconciliation and acceptance; partner cross-functionally with data engineering; and mentor engineers and Finance stakeholders.
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. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
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.
#LI-TF1
#LC
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.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Integrate, validate, and deploy autonomy software across simulations, hardware-in-the-loop environments, and flight platforms. Configure sensors, interfaces, and platform adapters; develop integration tooling, deployment scripts, and configuration management; troubleshoot system behavior using logs, telemetry, and rosbag data; optimize CI/CD workflows; validate requirements and interface contracts; and collaborate with engineering, product, DevOps, and customer teams to deliver reliable autonomous systems.
Top Skills:
Autonomous SystemsC++Ci/CdCommunication InterfacesEmbedded SystemsHardware-In-The-Loop (Hil)MiddlewareNetworkingOperating SystemsPythonRadio CommunicationsRoboticsRosRosbagSensor DriversSimulation ToolsSoftware-In-The-Loop (Sil)
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Own the Finance Technology team's Jira operating rhythm and serve as Scrum Master. Manage prioritization, capacity planning, dependencies, delivery reviews, retrospectives, impediment removal, and cross-functional programs involving planning, data products, and Finance applications. Provide leadership with delivery insights, risk assessments, resource recommendations, and workload planning while improving release readiness and handoffs.
Top Skills:
JIRA
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Develop Python-based automated testing, simulation analysis, log-processing, scenario-generation, and domain-randomization tools for the Hivemind Platform. Support test orchestration, distributed simulation, containerized environments, CI/CD, build troubleshooting, and technical documentation. Investigate failures using logs, telemetry, rosbags, network captures, and test results while collaborating with autonomy, systems, and platform engineers.
Top Skills:
BashBuildkiteC++CsvDockerGitGithub ActionsGitlab CiGoogletestHelmJenkinsJSONKubernetesLinuxMatplotlibNumpyPandasPlotlyPodmanPytestPythonRayRest ApisRobot FrameworkRosRos 2RosbagScipyTcpdumpTerraformUnittestWiresharkYaml
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
