Curriculum Manager - Data Science and AI

🏢 Datacamp · 📍 Belgium; Portugal; United Kingdom; United States

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Position Summary & Responsibilities

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you’ll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI.

About the role

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.

Qualifications:

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

🎯 Candidate Preparation Guide For Datacamp Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assessing edtech monetization models, user retention mechanics, and data literacy curriculum scalability.

📋 Preparation Priorities (Key Areas to Clarify):

1. Treating education metrics like standard e-commerce transaction funnels
2. Failing to provide a structured approach to measuring actual skill acquisition versus passive engagement
3. Lack of familiarity with the modern data science and AI upskilling landscape

✨ Recommended Role Alignment Hook:

I focus on driving long-term learner retention and enterprise upskilling by aligning interactive curriculum design with proven usage metrics.

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