Lead GTM Finance Analyst (R5361)

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. 

Job Description: We are building advanced autonomous systems that redefine the future of defense and national security. Scaling a mission-driven company at this pace requires financial precision, rapid insight, and a data backbone built for speed and accuracy. We are hiring a GTM Finance business partner to support Sales, Business Development, Marketing, and Customer Success. This is a hybrid role across finance, data engineering, and operational strategy — ideal for someone who moves confidently between modeling, systems, and decision-making. You will own the end-to-end GTM cost structure: OpEx budgets, headcount planning, spend analytics, and the data pipelines and reporting frameworks that power GTM intelligence. You’ll also set the SOPs and data quality standards that shift finance from reactive reporting to proactive leadership. If you thrive in high-stakes environments and believe finance should steer the business — not just record it — you’ll excel here.

What you'll do:

Headcount & Spend Management

Build and maintain GTM headcount, spend forecasting, tracking, and capacity model

Provide full visibility into GTM Opex, identifying cost drivers and resource optimization opportunities

Monitor actuals vs. plan and forecast; drive accountability with cost center owners

Partner with Data Engineering and system owners to automate headcount reconciliations across HR, Finance, and GTM systems — including unit economics

Data Engineering & Analytics Infrastructure

Partner with Data Engineering and BI to define data architecture, KPIs, and source-of-truth models

Build automated reporting workflows and capacity models in partnership with Data Engineering or Anaplan teams

Write and maintain SQL for ETL workflows across the data lake / Databricks environment

Build and manage scalable, reliable data pipelines powering GTM finance reporting

Create semantic data models and curated reporting tables for consistent cross-team metrics

Build dashboards in Databricks, Power BI, or similar tools for real-time GTM visibility

Data Quality, Governance & SOPs

Establish and enforce data quality monitoring, validation rules, and anomaly detection

Write SOPs for key GTM finance processes: close, headcount reconciliation, budget loading, variance reporting

Drive consistent KPI and metric definitions across GTM, Finance, and Data

Implement data governance practices to protect reporting integrity

Identify data or process gaps and propose scalable solutions

Cross-Functional Collaboration & Process Improvement

Partner with Revenue Ops, HR, Recruiting, Accounting, and Data to ensure financial plans match operational reality

Collaborate with Revenue Operations on quotas, pipeline forecasting, and GTM capacity

Continuously streamline tools, reporting, and processes with an automation-first mindset

Lead special projects and strategic analyses for finance leadership

Required qualifications:

Bachelor’s degree in finance, Accounting, Economics, Business, CS, or related field

Experience in aerospace, defense, semiconductor, robotics, automotive, or another heavy manufacturing or hardware-driven environment

3–6 years of experience in FP&A, GTM Finance, Sales Finance, RevOps, or equivalent analytical roles

Proficiency with AI tools to improve analysis speed, accuracy, and productivity

Experience with cloud data platforms (Databricks, Snowflake, Redshift, etc.) and ETL/pipeline concepts

Demonstrated ability to build headc …