AI Analytics Technical Lead

General Dynamics

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Sudbury, MA
Salary
$183,371–$203,428 / yr
Posted
19 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $193k
$133k $243k
below market most similar roles pay here above market

This role pays more than 53% of similar roles. Most pay $159,000–$216,300 — the blue band above. At the midpoint, this role pays about $193k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1377 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 1184 roles with salary data.

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At a glance

TL;DR · AI Analytics Technical Lead

The AI Analytics Technical Lead serves as a hands-on senior individual contributor within the Innovation & Engineering team. This role focuses on connecting governed source data, enterprise data platforms, and semantic standards into consistent, decision-ready analytical products to provide visibility into AI consumption, capacity, and performance. You will translate operational needs into technical roadmaps, build analytics-ready fact models, and implement versioned data contracts. Key responsibilities include designing reporting pipelines, establishing governed paths for dashboards, and managing data quality controls. Required technical skills include SQL and Python, with experience in data integration, telemetry, and cloud billing. You must understand AI platform mechanics like tokens and inference. The work involves solving complex data integration problems across diverse security environments to provide trusted visibility into AI investments and operational metrics.

What you'll do

  • Translate AI investment and operational needs into phased requirements, integration architecture, and technical roadmaps.
  • Connect telemetry, usage, capacity, and financial data through governed interfaces to enterprise data platforms.
  • Co-design and implement versioned data and telemetry contracts to preserve identity and traceable investment inputs.
  • Build analytics-ready fact models, transformations, lineage, and quality controls on approved enterprise platforms.
  • Establish a governed reporting path across dashboards, reports, and alerts with consistent results.
  • Implement and publish metric definitions approved by business owners without creating duplicate systems of record.
  • Produce technical readiness evidence including service objectives, monitoring, reconciliation, and recovery tests.
  • Lead cross-functional teams around a shared roadmap and evidence-based decisions for AI analytics integration.

What we're looking for

  • U.S. citizenship is required.
  • Ability to obtain a Department of Defense Secret security clearance is required.
  • Bachelor's degree in a technical field plus 10 years of relevant experience, or a Master's degree plus 8 years of relevant experience.
  • Demonstrated experience as a technical lead or principal engineer for production analytics, telemetry, data-integration, or Financial Operations.
  • Strong SQL and Python skills with hands-on experience building governed transformations, analytical fact models, and reporting pipelines.
  • Experience with versioned data contracts, idempotent processing, schema evolution, observability, and recovery.
  • Experience integrating cloud billing, platform telemetry, model gateways, and financial-reference data through governed interfaces.
  • Experience applying privacy controls to individual-level data, including row-level access and de-identification.

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