Curriculum Developer, Data

🕒 vor 5 Tagen

🇬🇧 Vereinigtes Königreich – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🖥 Softwareentwickler

👻 Geisterscore 10%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

Python

SQL

Tableau

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Corndel

501 - 1000 Mitarbeiter

💼 Beratung

🏥 Gesundheitswesen

📣 Marketing

Consulting • Healthcare • Marketing

Corndel ist ein Anbieter für Unternehmensbildung, der mit großen Organisationen zusammenarbeitet, um maßgeschneiderte Schulungen in den Bereichen KI, Daten und Führung, Studienabschlüsse und Coaching anzubieten. Es integriert Branchenpartnerschaften (Imperial College London, Microsoft, CMI) mit personalisiertem Coaching und akkreditierten Programmen, um messbare Transformationen der Belegschaft, die Einführung von KI und die Entwicklung von Führungskräften in Unternehmen voranzutreiben.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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