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Curriculum Developer, Data

đŸ”„ 1 hour ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ–„ Software Engineer

đŸ‘» Ghost score 10%

infoinfo

Python

SQL

Tableau

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Logo of Corndel

Corndel

501 - 1000 employees

đŸ’Œ Consulting

đŸ„ Healthcare

📣 Marketing

Consulting ‱ Healthcare ‱ Marketing

Corndel is an enterprise learning provider that partners with large organisations to deliver tailored AI, data and leadership training, degree apprenticeships and coaching. It combines industry partnerships (Imperial College London, Microsoft, CMI) with personalized coaching and accredited programmes to drive measurable workforce transformation, AI adoption and leadership development across businesses.

📋 Description

‱ 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

‱ 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

đŸ–ïž Benefits

‱ 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

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