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Corndel

Curriculum Developer, Data

Corndel

. Develop, refine, and maintain curriculum content across Data programmes, including e-learning materials, activities, assessments, and supporting resources .

Posted 9/18/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and refining curriculum content for Data programmes, with a strong focus on data analytics, AI applications, and learner engagement. Proficient in quality assurance processes and capable of translating complex concepts into accessible learning experiences.

Highest-signal resume keywords
Data Analytics ConceptsAI ApplicationsCurriculum DevelopmentQuality AssuranceJira

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Curriculum DevelopmentE-Learning MaterialsData AnalyticsArtificial IntelligenceMachine LearningTechnical Educational ResourcesExcelPower BISQLTableau
Soft Skills
Strong Written CommunicationAttention to DetailCollaborationContinuous Improvement MindsetFlexibility
Tools & Technologies
JiraGoogle SheetsLooker StudioChatGPTMicrosoft Copilot
Industry Keywords
Apprenticeship StandardsEnd-Point AssessmentQuality AssuranceAdult EducationTechnical Learning Materials

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Develop, refine, and maintain curriculum content across Data programmes, including e-learning materials, activities, assessments, and supporting resources
  • Support development of new programmes, programme variants, and bespoke or client-specific learning solutions
  • Review and quality assure existing curriculum content for accuracy, accessibility, consistency, relevance, and learner experience
  • Collaborate with Product Managers, coaches, Curriculum Developers, and subject matter experts
  • Translate complex Data and AI concepts into practical, accessible learning experiences
  • Analyse learner, coach, and stakeholder feedback and implement iterative curriculum enhancements
  • Monitor curriculum-related queries and issues, identify recurring themes, and inform improvements
  • Use Jira or similar tools to log, track, prioritise, and resolve curriculum-related work and content issues
  • Keep content current with developments in data, analytics, artificial intelligence, tools, technologies, and industry practice
  • Support curriculum quality assurance processes and maintain high standards across learning materials and programmes
  • Enhance learner engagement, progression, and outcomes through content, activity, and learning-design improvements
  • Align learning content with apprenticeship standards, assessment requirements, and End-Point Assessment expectations

Requirements

What you’ll need
  • Strong knowledge of data analytics concepts and practices
  • Good understanding of AI and its practical applications, including workplace AI tools
  • Experience developing, reviewing, or improving learning content, training materials, e-learning, or technical educational resources
  • Ability to translate complex technical concepts into clear, accessible, and engaging learning experiences
  • Strong written communication skills and excellent attention to detail
  • Confidence reviewing technical content for accuracy, clarity, consistency, and relevance
  • Ability to collaborate with Product Managers, subject matter experts, coaches, and stakeholders
  • Ability to manage competing priorities and work flexibly across programmes or projects
  • Continuous-improvement mindset and ability to use feedback and evidence to implement improvements
  • Ability to research unfamiliar or emerging technical topics and build sufficient subject knowledge
  • Desirable: experience developing curriculum or learning content within Data, Analytics, Artificial Intelligence, Machine Learning, or a related technical field
  • Desirable: experience in apprenticeships, further education, professional learning, or adult education
  • Desirable: knowledge of apprenticeship standards, KSBs, assessment plans, or End-Point Assessment
  • Desirable: hands-on experience with Excel, Power BI, SQL, Tableau, Python, Google Sheets, Looker Studio, or similar
  • Desirable: familiarity with ChatGPT, Microsoft Copilot, Gemini, Claude, or other generative AI platforms
  • Desirable: understanding of machine learning, generative AI, prompt engineering, AI ethics, responsible AI, or AI governance
  • Desirable: experience using authoring or learning technologies to create digital learning content
  • Desirable: experience working in an Agile, Product, or iterative development environment, including Jira
  • Desirable: experience in quality assurance or peer reviewing technical learning materials
  • Successful candidate subject to pre-employment checks, including DBS Disclosure

Benefits

Comp & perks
  • Pension
  • Unlimited leave
  • Flexible working
  • Fully inclusive, welcoming, and safe culture
  • Flexible and supportive environment with autonomy over the role
  • Disability Confident Employer support and reasonable adjustments during recruitment
  • Pre-employment checks including DBS Disclosure