Sr Manager, Learning Architecture
New
A
AgeroCorporate learning
Location: Remote; Hiring In: United States: Arizona, California, Florida, Georgia, Illinois, Massachusetts, Michigan, Missouri, New Hampshire, New York State, New Mexico, North Carolina, Tennessee, VirginiaFull-TimeManager
Salary99,600 - 125,000 USD per year
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Job Details
- Experience
- 8-10 years of progressive experience in corporate learning and development, instructional design, or talent development, including experience mentoring peers or leading teams.
- Required Skills
- Generative AI
Requirements
- Bachelor’s degree in Learning & Development, Organizational Development, Human Resources, or a related field, or equivalent work experience.
- 8-10 years of progressive experience in corporate learning and development, instructional design, or talent development.
- Experience mentoring peers or leading teams.
- Experience operating modern digital talent stacks and implementing AI-driven learning tools.
- Advanced capability in building and operating enterprise digital talent stacks and Generative AI applications.
- Deep mastery of adult learning theory and behavioral psychology; ability to apply cognitive science principles to learning pathways.
- Ability to translate executive KPIs and operational metrics into learning interventions and build performance dashboards.
- Ability to establish consultative partnerships across management levels and align capability frameworks with enterprise objectives.
- Ability to manage concurrent learning initiatives independently, define scope, prioritize resources, and drive initiatives from concept to execution.
- Master’s degree or relevant professional certification, such as CPTD or SHRM-SCP, preferred.
Responsibilities
- Develop operational toolkits, coaching frameworks, and continuous feedback mechanisms for people managers.
- Direct the design and deployment of learning tracks, leadership and behavioral programs, and modular micro-learning performance assets.
- Modernize and govern the enterprise learning technology infrastructure, integrating Generative AI tools and digital talent platforms into operational workflows.
- Establish live learning analytics dashboards to measure skill velocity, behavioral adoption, and internal mobility.
- Translate learning outcomes into quantifiable business impact and return on investment.
- Build and maintain a data-driven skills inventory, partnering with business leaders to forecast technology disruptions and design upskilling and reskilling pathways.
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