Senior Manager, AI Workforce Development

Verizon•Basking Ridge, NJ

9d•$108,000 - $188,000•Hybrid

About The Position

Verizon seeks a Senior Manager, AI Workforce Development to provide critical, deep expertise in the developing field of AI-driven workforce development in populations that are most at-risk for displacement, ensuring the equitable design and execution of our social impact programs. This role acts as the primary AI subject matter resource for the Responsible Business group, supporting the AI Skilling Program Manager and team. This role requires advanced, specialized knowledge of AI's implications for jobs and skills, with a focus on translating that knowledge into actionable, training strategies for targeted communities. This position requires an expert in workforce readiness who can translate complex AI concepts into accessible learning strategies for non-technical audiences. You will leverage your understanding of diverse learner populations—spanning K-12 through adult workforce—to rigorously validate content and ensure programmatic impact.

Requirements

Bachelor’s degree or four or more years of work experience.
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Experience designing and implementing complex workforce development or social impact strategies.
Deep subject matter expertise in AI concepts, tools, and current AI training trends.
Proven experience in corporate training, adult learning, or educational curriculum development.

Nice To Haves

Expertise in workforce automation and digital skilling, including a sophisticated understanding of the technical skills gaps currently separating displaced workers from high-demand AI-adjacent roles.
Experience working directly with job training programs, community colleges, K-12 systems, or small business development, especially those serving vulnerable socio-economic groups.
Ability to manage educational rollouts across multiple phases, aligning with pilot timelines and scaling distributions to strategic business markets.
Proven ability to synthesize complex, emergent trends into clear, actionable advice for a corporate setting.
Strong operational mindset; experience leading large-scale, cross-functional programs from an advisory and content validation perspective.
Highly skilled at engaging, influencing, and advising internal senior leaders and external community stakeholders.

Responsibilities

Serving as the primary, authoritative internal AI Subject Matter Expert (SME) to inform, architect, and steward the AI skilling program strategy as set by the AI Skilling Program Manager.
Conducting assessments to identify specific job training needs related to AI fluency and application for target communities.
Applying SME knowledge to rigorously curate, vet and validate all tailored educational programs and external partner curriculums. Ensure pedagogical rigor and relevance to non-technical workforces and target communities.
Collaborating closely with external partners to ensure the accurate and high-quality delivery of AI skilling content and programs, serving as the knowledge resource for content veracity and emerging trends.
Regularly analyze performance and progress toward defined goals and success measures. Recommend changes as appropriate.
Synthesizing complex data to provide expert insights that integrate AI workforce readiness and equity principles into internal functions, stakeholder discussions, and the broader Responsible Business agenda.
Partnering with the internal Business Intelligence team to outline the measurement framework by providing expert input on relevant, future-focused key performance indicators (KPIs) and learning metrics that accurately capture the societal and economic impact of AI upskilling efforts.
Continuously monitoring the developing field, identifying any emerging gaps, synthesizing information, and disseminating recommendations to senior leadership.
Identifying external engagements or partnerships that provide opportunity for thought leadership to amplify Verizon’s brand in the AI workforce development space. Represent Verizon in these venues where appropriate.