Senior Analytics Engineer - Finance (R6185)

Shield AI
San Diego, CA
On-siteCareer-pivot friendly

Who this role is best for

Strong fit for analytics professionals with financial modeling expertise who lead cross-functional initiatives and work in San Diego.

Best fit for

  • Candidates with financial data modeling experience and leadership in ambiguous projects
    — “demonstrated ability to lead ambiguous, cross-functional work from problem definition through adoption”
  • Individuals skilled in building governed datasets and semantic models for strategic decisions
    — “Build governed datasets and semantic models that support reporting, planning, scenario analysis, and strategic decisions”
  • Professionals who can influence senior stakeholders and mentor others in analytics practices
    — “experience mentoring others and influencing senior stakeholders”

Things to consider

  • Background clearance is a mandatory requirement for all offers
    — “All offers are contingent on a cleared background”
  • Equity and benefits are tied to full-time status, not temporary roles
    — “Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)”

How to stand out

  • Highlight experience with Databricks Genie and AI-assisted analytics in your resume and interviews
    — “Develop conversational analytics and AI-enabled workflows, including Databricks Genie”
  • Showcase your ability to set modeling standards and ensure data quality and maintainability
    — “Set modeling and metric standards across domains, exercising judgment on architecture, quality, and maintainability”
  • Emphasize your track record in delivering production data products with advanced SQL
    — “Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • governed datasets
  • AI-enabled workflows
Typical background
data engineeringfinance

Skills & requirements

Required

Analytics EngineeringBI EngineeringFinancial Data Modeling

Preferred

Databricks GenieAI Application Development

Stack & domain

SQLDatabricks GeniePythonLeadershipCommunicationFinance

About the role

Original posting from Shield AI via Lever

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. 

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.

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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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.

Source: Shield AI careers (Lever)

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