Senior Analytics Engineer - Finance (R6185)
On-site San Diego Full-time Senior Data Analysis & BI
At a glance
Senior Data Analysis & BI role at Shield AI. San Diego · full-time · $120,000–$190,000 base.
SalaryStated by Shield AI
$120,000 – $190,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Analysis & BI
SenioritySenior
LocationSan Diego
WorkplaceOn-site
EmploymentFull-time
Base pay$120,000–$190,000
PostedOct 10, 2026 · 2w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Set Finance and GTM analytics priorities with leaders, balancing competing needs and choosing high-impact data products
- Create governed datasets and semantic models for reporting, planning, scenario work and strategic decisions
- Define shared modeling and metric practices, making architecture and quality tradeoffs across data domains
- Build conversational analytics and AI-supported workflows using trusted business context, including Databricks Genie
- Validate delivered data products with business partners, coordinate reliable delivery with data engineering, and mentor engineers and Finance teams
What you bring
- A computer science or related technical or quantitative degree, plus five years of relevant work; a master's degree can pair with three years
- Deep analytics engineering, BI engineering or financial data modeling experience, with advanced SQL and production data product delivery
- Experience leading cross-functional work from an unclear problem through adoption, and skill using AI coding assistants to review generated code
- Hands-on AI-assisted analytics experience, ideally with Databricks Genie or a comparable platform
Who this fits
This senior individual-contributor role suits someone who can combine practical data engineering with influence across Finance and GTM, including mentoring others. The role is onsite in San Diego.
From the employer
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.
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.
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:
- 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:
- 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.
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.
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