Instructional Designer, AI Enablement

JPMorganChase•Wilmington, NC

About The Position

The AI Fluency Instructional Designer will design, develop, and maintain learning solutions that build employee capability and confidence in using the firm’s AI tools across employee segments, roles, and regions. As part of the firmwide Employee Enablement program, the role translates AI adoption goals into learning needs and creates modern, experiential learning journeys that help employees use appropriate AI tools to maximize productivity and value. The role partners with HR, Technology, Data & Analytics, Risk & Compliance, product and enablement teams, learning partners, project managers, and subject matter experts to deliver high-quality, scalable learning. It requires expertise in adult learning principles, needs analysis, curriculum and journey design, content review and quality assurance, and practical use of generative AI tools, along with a working understanding of AI capabilities, limitations, and responsible use in a regulated environment.

Requirements

At least 6 years of instructional design experience creating modern, experiential learning for adult learners at scale.
Ability to conduct learning needs analysis and scope solutions based on business goals, skills gaps, and learner data.
Strong curriculum design skills, including curation, content creation, mapping to frameworks and proficiency levels, and learning journey design.
Hands-on experience with generative AI tools and working knowledge of AI concepts, capabilities, limitations, and responsible use.
Strong content review and quality assurance skills, including providing actionable feedback.
Advanced stakeholder management and cross-functional partnership skills, especially in transformation environments.
Strong project management and organizational skills, including managing multiple workstreams to deadlines.
Excellent written and verbal communication skills, including explaining technical concepts in plain language.
Strong ownership, execution, consulting, and influencing skills.
Global mindset and cultural fluency, with ability to design for diverse roles and geographies.
Strong problem-solving skills and resilience in a changing environment.

Nice To Haves

Experience designing learning for enterprise AI or digital transformation programs.
Experience with skills taxonomies, AI literacy frameworks, and/or assessment design.
Experience using learning data and adoption analytics to target and improve learning.
Experience designing for managers and senior leaders as well as individual contributors.
Experience in financial services or another regulated industry.
Familiarity with evidence-based learning design principles and digital learning platforms.

Responsibilities

Assess and scope learning needs across employee segments, sub-segments, and personas, translating AI adoption goals and skills gaps into prioritized learning requirements.
Design and develop experiential instructional materials, curricula, and learning journeys that build AI fluency from foundational literacy to advanced, workflow-embedded use.
Apply learning science principles to support durable learning and lasting behavior change.
Use the firm’s AI fluency practices framework and proficiency levels to define business objectives and learning outcomes, map content, and identify curriculum gaps.
Review and evaluate internal and vendor learning content for quality, accuracy, relevance, and framework alignment; recommend whether to reuse, adapt, retire, or build content.
Design tool-specific and workflow-based learning for the firm’s AI tools, including chat assistants, Microsoft Copilot, and emerging agentic tools, in partnership with product and enablement teams.
Partner with segment and line-of-business learning teams through repeatable playbooks, design standards, and templates to scale learning across the firm.
Define and test a high-quality end-to-end learner experience by leading pilots, user testing, feedback collection, and revisions.
Work with stakeholders and measurement and analytics partners to define a performance-focused measurement plan, use adoption and usage signals to target learning, and report on impact.
Research and benchmark AI upskilling at peer organizations, industry frameworks, and external research, and incorporate relevant insights into learning design.
Ensure learning content meets firm standards for quality, accessibility, responsible AI use, and data handling.
Collaborate with HR, Technology, Data & Analytics, Risk & Compliance, subject matter experts, managers, and senior leaders to produce high-quality learning design.
Use AI tools in the design process to accelerate needs analysis, content creation, and review, while modeling responsible AI use.