AI Learning Strategy Development Specialist

1. Advance the Ambient Assessment strategy
Translate the current Ambient Assessment vision brief into a structured, partner-ready strategy package
Document the signal architecture, signal validation criteria, and data design
Develop a phased rollout plan with clear gates, dependencies, decision points, and success criteria
Define the requirements needed to engage a strategic validation partner
Maintain alignment with Talent Signature, the broader skills taxonomy, and the GLD Learning Strategy
2. Develop GLD Learning Strategy pillar documentation
Draft, structure, and evidence-base content for one or more strategy pillars: What we build, Who we develop, What we offer, and How we power it
Translate senior strategic direction into structured pillar documentation
Create supporting evidence, including frameworks, decision trees, taxonomies, and operating standards
Maintain coherence and cross-references across pillars
3. Shape the agentic content pipeline blueprint
Define the blueprint for an AI and agentic content generation and transformation pipeline, from intake to publish
Document design principles, governance, quality criteria, handoff standards, and review checkpoints
Translate senior direction into a review-ready blueprint that partner delivery teams can act on
4. Develop SNUx artifacts and supporting evidence
Develop SNUx artifacts that articulate the future-state learning vision — learner-centred, AI-native, enterprise-ready
Document the evidence base behind SNUx hypotheses through POCs, prototypes, and learner research
Maintain SNUx as a living body of work, not a static deck
5. Translate senior direction into finished strategy artifacts
Take strategic direction from senior LSI leadership and independently produce finished, review-ready deliverables
Operate in a high-ambiguity, fast-moving environment where strategy is being defined and documented in real time
Maintain LSI’s evidence-led, learner-first, AI-enabled standards in everything produced
Success metrics
Ambient Assessment strategy package completed for partner review, including signal architecture, validation criteria, phased rollout, and data design
Agentic content pipeline blueprint drafted, structured, and ready for senior review
At least one GLD Learning Strategy pillar advanced into structured, evidence-based documentation
SNUx artifacts and supporting evidence moved from concept-level inputs to an organized, documented body of work
Senior LSI capacity redirected from artifact production to direction-setting, stakeholder alignment, and decision-making
Skills:
Core skills
Strategic learning design: Ability to translate enterprise learning priorities into structured strategies, frameworks, and decision-ready artifacts
AI-enabled learning fluency: Working understanding of AI-native learning models, personalization, adaptive pathways, agentic workflows, and emerging learning technologies
Assessment and skills measurement: Ability to define signals, validation criteria, success measures, and evidence models for skills-based learning and ambient assessment
Systems thinking: Ability to connect learning science, AI capabilities, data design, governance, operational realities, and business outcomes
Strategic writing and synthesis: Strong ability to distill complex inputs into clear, structured, executive-ready documents and partner-facing materials
Stakeholder alignment: Ability to incorporate senior direction, partner requirements, and cross-functional input while maintaining strategic coherence
Independent execution: Comfortable operating with ambiguity, limited supervision, and evolving direction in a fast-moving strategy environment
Preferred qualifications
5–7 years of experience in learning strategy, learning experience design, instructional design, or a closely related strategic learning role
Demonstrated experience building strategy documents, frameworks, or methodologies independently — not just contributing to them
Strong grounding in learning science, skills measurement, assessment design, or AI-enabled learning strategy
Familiarity with AI-enabled learning concepts such as adaptive learning, signal-based assessment, intelligent tutoring, and personalized learning paths

Work arrangement
Yes