Senior Manager, Learning and Development

Verizon

. Serve as technical authority and enterprise architect for Verizon’s Learning Agent technology ecosystem and Digital Front Door platform .

Posted 10/28/2026full-timeRemote • United StatesSenior💰 $101,500 - $194,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise architecture and AI engineering, with a strong focus on establishing technical standards and frameworks for multi-agent AI ecosystems. Proven ability to lead strategic technology initiatives and influence stakeholders in a matrixed organization.

Highest-signal resume keywords

Enterprise ArchitectureAI EngineeringTechnical LeadershipData GovernanceJavaScript/Apps Script Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/LLM EvaluationTelemetry ModelingArchitectural BlueprintsContinuous DeploymentPrompt EngineeringWebhook IntegrationsMulti-variable AI EvaluationAutomated Feedback LoopsAnalytics FrameworksPerformance Metrics

Soft Skills

Influencing Executive StakeholdersCollaboration Across TeamsStrategic Vision Development

Tools & Technologies

Google Apps ScriptREST APIsOAuth2 AuthenticationGit for Version ControlClasp Deployment

Industry Keywords

Learning OperationsDigital Product EcosystemsHuman-in-the-LoopAdaptive LearningMatrixed Organization

Tech Stack

Tools & technologies

JavaScriptMicroservices

About the role

Key responsibilities & impact

Serve as technical authority and enterprise architect for Verizon’s Learning Agent technology ecosystem and Digital Front Door platform
Drive long-term vision, strategy, and execution across AI engineering, design systems, and enterprise knowledge infrastructure
Establish architectural guardrails and RAG-optimized vector pipeline strategies
Set standards for automated intake automation and multi-variable AI evaluation frameworks
Architect enterprise-wide technical benchmarks for multi-agent AI ecosystems, including chatbots, adaptive cognitive agents, and dynamic interfaces
Establish Human-in-the-Loop safety, accuracy, and performance guardrails
Lead the strategic vision for RAG-ready enterprise knowledge bases, vector indexing, and metadata taxonomy standards
Design telemetry architectures, observability models, and automated feedback loops to identify LLM drift, hallucinations, and API pipeline degradation
Lead the technology roadmap for the Digital Learning Center platform UX/UI and intake automation
Drive prompt engineering patterns, webhook integrations, and scalable microservices architectures
Define analytics frameworks and machine learning metric models for user pathways, skill resolution velocity, ROI, and organizational behavior change
Advise senior leadership on technology investments
Provide technical leadership across multidisciplinary agile squads and partner with executive sponsors, AI research teams, and product engineering

Requirements

What you’ll need

Bachelor's degree or four or more years of work experience
Six or more years of relevant experience required, demonstrated through work and/or military experience or specialized training
Current HR and/or Learning & Development experience
Experience in learning intake, funnel management and/or learning operations
Willingness to travel up to approximately 25% of the time
Six or more years of relevant industry experience with a proven track record in AI/LLM evaluation, enterprise system architecture, or technical learning operations consulting
Experience establishing enterprise data governance, telemetry modeling, and technical vision for large-scale AI or digital product ecosystems
Ability to lead technical strategy, influence executive stakeholders, and set architectural standards without direct authority in a matrixed organization
Experience authoring technical whitepapers, architectural blueprints, adaptive learning, or real-time data evaluation
Advanced knowledge of enterprise system design and continuous deployment for LLM-driven application frameworks
Proficiency writing performant JavaScript/Apps Script using batching practices such as getValues/setValues
Experience integrating external REST APIs via UrlFetchApp and managing OAuth2 or Bearer-token authentication headers
Understanding of Google Apps Script constraints, including the six-minute runtime cap, quota limits, and trigger handling
Familiarity with local Apps Script deployment using clasp and Git for version control is a plus

Benefits

Comp & perks

Medical, dental, and vision coverage
Short- and long-term disability insurance
Basic and supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Incentives and potential premium pay such as overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Remote work from home
Occasional in-person trainings and meetings