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Mapping Pilot Jobs in Missouri (NOW HIRING)

ABOUT Act as our eyes and ears in the sky, mapping coasts and ports for Navy intelligence. Gain ... Working with Pilots to operate and control aircraft systems PAY AND BENEFITS From the day you start ...

ABOUT Act as our eyes and ears in the sky, mapping coasts and ports for Navy intelligence. Gain ... Working with Pilots to operate and control aircraft systems PAY AND BENEFITS From the day you start ...

AI/ML Data Strategist

Saint Louis, MO · On-site

$113K - $147K/yr

Experience with business process modeling, user journey mapping, and value stream analysis ... Faster time-to-value for AI pilots * Broader departmental adoption of AI * Measurable business ...

Create journey maps, service blueprints, and ecosystem views to identify gaps and dependencies ... Runs scalable pilots and applies AI to improve shopping, personalization, search, support, and ...

Indirect reporting relationship with the base leadership team (Lead Pilot, Base Mechanic). B. Crew ... Responsible for customer mapping to understand customer goals and required deliverables.

Showing results 41-60

Mapping Pilot information

What are the key skills and qualifications needed to thrive as a mapping pilot?

To thrive as a Mapping Pilot, you need a solid understanding of aeronautical principles, geospatial data collection, and flight regulations, often supported by a commercial pilot’s license and relevant mapping experience. Familiarity with GIS software, aerial photography equipment, and drone or manned survey systems is typically required. Exceptional attention to detail, problem-solving abilities, and strong communication skills help ensure mission accuracy and effective coordination with ground teams. These skills are crucial for producing reliable mapping data and maintaining operational safety in diverse and dynamic field environments.

What is a mapping pilot?

Mapping pilots are specialized professionals who operate aircraft or drones to collect geospatial data for mapping and surveying purposes. They use advanced technology such as aerial cameras, LiDAR, or sensors to capture detailed images and measurements of land, infrastructure, or natural features. The data collected by mapping pilots is used in various industries, including construction, agriculture, environmental monitoring, and urban planning. Mapping pilots often work closely with surveyors, GIS specialists, and engineers to ensure accurate and precise data collection. Their work is critical in creating up-to-date maps and 3D models for analysis and decision-making.

How do mapping pilots typically collaborate with ground teams and data analysts during a mapping mission?

Mapping Pilots work closely with ground teams to coordinate flight plans, ensure compliance with regulations, and address any on-site challenges such as weather or airspace restrictions. They also partner with data analysts to ensure that the imagery or sensor data collected meets the project's technical requirements. Effective communication is key, as pilots must relay real-time updates and adjust flight paths as needed based on feedback from both the ground crew and data processing teams. This collaborative process helps ensure the accuracy and efficiency of the mapping mission.

What is the difference between Mapping Pilot vs GIS Technician?

AspectMapping PilotGIS Technician
Required CredentialsHigh school diploma, pilot certification, GIS knowledgeAssociate's or Bachelor's in GIS, cartography, or related field
Work EnvironmentFieldwork, aerial mapping, aircraft operationOffice-based, GIS software, data analysis
Employer & Industry UsageSurveying firms, mapping companies, government agenciesUrban planning, environmental agencies, utilities

Mapping Pilots primarily operate aircraft to capture aerial data, requiring pilot certifications and fieldwork experience. GIS Technicians focus on data management, analysis, and map creation using GIS software. While both roles support mapping projects, Mapping Pilots are more field and aircraft-oriented, whereas GIS Technicians work mainly in office settings with digital data. Understanding these differences helps in choosing the right career path or job search focus.

What job categories do people searching Mapping Pilot jobs in Missouri look for? The top searched job categories for Mapping Pilot jobs in Missouri are:
Infographic showing various Mapping Pilot job openings in Missouri as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Director, AI Transformation Architect

Jobtailor

Dearborn, MO • On-site

$120 - $180/hr

Other

Posted 5 days ago


Job description

Responsibilities
  • Transform the Integrated Services Product Team Operating Model: Identify, redesign, and scale AI-enabled workflows across discovery, customer research, Product Requirement Document (PRD) roadmaps, prioritization, launch readiness, executive reviews, analytics, PMO, go-to-market, and post-launch learning.
  • Build AI Agents, Automation and Infrastructure: Create, configure, test, and maintain AI agents, tools, workflows, and integrations using APIs, retrieval, orchestration, agent instructions, approved AI platforms, enterprise systems, and related technical patterns.
  • Prototype, Pilot and Scale: Rapidly prototype with real users, validate workflow fit, identify failure modes, and move successful solutions from idea to prototype to pilot to scaled adoption, working through technical, operational, security, privacy, and change‑management barriers.
  • Create Reusable Capabilities and Playbooks: Build repeatable agents, templates, standards, workflows, and best practices for common product, PMO and GTM work, including customer insight synthesis and journey mapping, requirement generation, PRD review, competitive analysis, roadmap tradeoffs, launch planning and execution, risk reviews, business case development, and executive communication.
  • Measure Impact: Define and track outcomes tied directly to business and customer value creation, including adoption, time saved, cycle‑time reduction, decision speed, employee experience, quality improvements, rework reduction, revenue generation and business or customer outcomes from AI enabled workflows.
  • Drive Adoption and Behavior Change: Train teams, coach leaders, create champions, document best practices, and make AI-enabled workflows easy, safe and useful enough to become the default way of working.
  • Establish Quality, Governance and Trust: Partner with security, legal, privacy, IT, PMO, go-to-market and engineering to ensure workflows are secure, compliant, auditable, explainable, and appropriate for enterprise use.
  • Design Human‑In‑The‑Loop Systems: Define where AI should act independently, where humans must review or approve, and how teams should manage risk, quality and accountability in AI-enabled workflows.
  • Increase Leverage: Identify and automate repetitive, manual, duplicative, or low‑value work so teams can spend more time on customer insight, product judgment, and execution.
  • Evaluate Emerging AI Patterns: Stay current on AI agent frameworks, tooling, security models, governance practices, workflow automation approaches, and enterprise patterns, then translate the most practical opportunities into Ford use cases.
Requirements
  • Strong technical fluency and a hand‑on builder mindset, with familiarity across modern AI workflow patterns including APIs, retrieval, agent instructions, orchestration, evaluations, and human‑in‑the‑loop flows.
  • Experience building AI‑enabled workflows, automations, internal tools, or agent‑based systems that were adopted by real users, not just prototypes.
  • Strong product management fluency including discovery, customer research, PRDs, roadmaps, prioritization, launch readiness, stakeholder alignment and product analytics.
  • Experience redesigning knowledge‑work workflows or operating models at team or enterprise scale.
  • Ability to rapidly prototype, test with users, measure outcomes, and iterate.
  • Comfort working within enterprise constraints, including security, privacy, legal, IT, data access, and governance.
  • Ability to influence cross‑functional teams and drive adoption without relying solely on formal authority.
  • Strong communication, documentation, training, storytelling, and collaboration skills, with the ability to bring skeptical teams along.
  • Even better, you may have…
  • Experience in automotive, digital product, software, platform, or large‑scale enterprise organizations.
  • Enterprise implementation experience, especially in environments with security, privacy, identity, legal, compliance, procurement, IT and data‑access constraints.
  • Experience creating training, enablement, champion networks and reusable playbooks for scaled adoption.
  • Background in workflow automation, developer tools, internal tooling, product operations, design operations, or AI enablement.
  • Experience building tools for teams rather than only consumer‑facing applications.
  • Experience evaluating AI platforms, vendors, agent frameworks, and emerging enterprise AI tooling.
  • Understanding of AI safety, data governance, access control, auditability, and responsible AI practices.
  • Experience working with product, engineering, design, analytics, business operations, legal, security, and IT teams in a complex matrixed environment.
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