Senior Manager, Learning and Development

Posted 21 hours ago

This is a fully remote position, open to applicants in Colorado, +2 more states.

📋 Description

• Act as the technical leader and enterprise architect for Verizon’s Learning Agent technology ecosystem and Digital Front Door platform.

• Propel long-term vision, strategy, and implementation across AI engineering, design systems, and enterprise knowledge infrastructure.

• Create architectural guardrails and RAG-optimized vector pipeline strategies.

• Establish standards for automated intake processes and multi-variable AI assessment frameworks.

• Design enterprise-wide technical benchmarks for multi-agent AI ecosystems, which include chatbots, adaptive cognitive agents, and dynamic interfaces.

• Implement Human-in-the-Loop safety, precision, and performance guidelines.

• Direct the strategic vision for RAG-ready enterprise knowledge bases, vector indexing, and metadata taxonomy standards.

• Develop telemetry architectures, observability models, and automated feedback systems to detect LLM drift, hallucinations, and API pipeline deterioration.

• Oversee the technology roadmap for the Digital Learning Center platform's UX/UI and intake automation.

• Champion 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 transformation.

• Counsel senior leadership on technology investments.

• Offer technical leadership across multidisciplinary agile teams and collaborate with executive sponsors, AI research teams, and product engineering.


⛳️ Requirements

• Bachelor’s degree or four or more years of relevant work experience.

• Minimum of six years of pertinent experience, demonstrated through work, military service, or specialized training.

• Current experience in HR and/or Learning & Development.

• Background in learning intake, funnel management, and/or learning operations.

• Willingness to travel up to approximately 25% of the time.

• At least six years of relevant industry experience with a proven record in AI/LLM evaluation, enterprise system architecture, or technical learning operations consulting.

• Experience in establishing enterprise data governance, telemetry modeling, and crafting a technical vision for large-scale AI or digital product ecosystems.

• Capability to lead technical strategy, influence executive stakeholders, and establish architectural standards without direct authority in a matrixed environment.

• Experience in authoring technical whitepapers, architectural blueprints, adaptive learning, or real-time data evaluation.

• Advanced expertise in enterprise system design and continuous deployment for LLM-driven application frameworks.

• Proficiency in writing efficient JavaScript/Apps Script employing batching practices such as getValues/setValues.

• Experience integrating external REST APIs using UrlFetchApp and managing OAuth2 or Bearer-token authentication headers.

• Understanding of Google Apps Script limitations, including the six-minute runtime cap, quota restrictions, and trigger handling.

• Familiarity with local Apps Script deployment utilizing clasp and Git for version control is a plus.


🏝️ Benefits

• Medical, dental, and vision insurance.

• Short- and long-term disability coverage.

• Basic and supplemental life insurance.

• Accidental death and dismemberment (AD&D) insurance.

• Identity theft protection services.

• Pet insurance options.

• Group home and auto insurance plans.

• Matched 401(k) savings program.

• Up to 8 company-paid holidays annually.

• Up to 6 personal days each year.

• Paid parental leave.

• Adoption assistance programs.

• Tuition assistance opportunities.

• Incentives and potential premium pay, including overtime, shift differentials, holiday pay, and allowances.

• Up to 15 days of vacation per year for newly hired employees, with increases based on service duration.

• Option for remote work from home.

• Occasional in-person training sessions and meetings.

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