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# Curriculum Manager - Data Science and AI

- **Company:** Datacamp Inc
- **Location:** Belgium
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, Software Engineering, Information Technology, Virtual Agents
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/curriculum-manager-data-science-and-ai-datacamp-7261514

## About the Role

* A solid technical background in Python and SQL. A technical background in data engineering is a plus.
 * Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
 * Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
 * Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

 * A deep understanding of the DataCamp course format-you have an intuitive understanding of what makes a great DataCamp course.
 * An existing network of potential subject matter experts who can become DataCamp instructors.
 * An extensive track record of building sophisticated AI systems and workflows.

## Description

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like:

 * Manage the entire content development lifecycle and deadlines.
 * Source and recruit top-tier subject-matter experts as instructors.
 * Collaborate with instructors to create engaging content.
 * Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production.
 * Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
 * Continuously assess course performance using learner feedback and engagement data to drive improvements.
 * Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.


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