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