Instructional Designer
dunnhumby
Instructional Designer
dunnhumby
Global customer data science and insights
We are looking for an Instructional Designer to support the design, development, and delivery of learning solutions that help our colleagues and our clients build capability.
The role will support the wider L&D team across learning design, content development, learning technology, and learning operations, working closely with subject-matter experts and stakeholders.
Key Responsibilities
• Apply learning models, frameworks, and technologies to design effective, high-quality learning experiences
• Create learning solutions for web-based learning, instructor-led and virtual workshops
• Support the development of AI-enabled learning experiences, including chatbots
• Support learning operations and coordination activities
• Build trusted relationships with stakeholders
Education, Experience & Skills
• Bachelor’s degree or equivalent experience
• Experience using learning and creative tools (Articulate 360, Adobe Creative Suite, Camtasia, MS Office, Figma) and applying learning frameworks such as ADDIE and Kirkpatrick
• Experience with LMS, LXP, and web-based learning platforms, with a basic understanding of APIs, system integrations
• Experience analysing learning feedback, data and reports to measure impact and drive continuous improvement
• Strong organisational skills with the ability to manage multiple tasks and priorities
Good to have:
• Exposure to chatbot development using Node.js and Oracle Digital Assistant (ODA)
• Exposure to HTML-based course development
Dunnhumby uses Customer Data Science to help retailers and consumer brands improve customer experiences through data-driven insights, offering services like media solutions, customer insights, and personalized marketing strategies, and it also runs Dunnhumby Ventures to back early-stage retail tech startups. It analyzes shopper data from browsers and internet devices using unique identifiers without storing personal information to generate actionable insights that drive targeted campaigns. It differentiates itself by combining depth in retail-focused data science with a suite of services and a corporate venture fund to help clients optimize customer interactions across channels. Its goal is to empower retailers and brands to deliver better, data-informed experiences that boost sales and engagement.
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