DataCamp - Curriculum Manager - Data Science and Data Engineering
Requirements
• A solid technical background in Python and SQL. • Proficiency in areas such as Airflow, Snowflake, and dbt. You can quickly learn new tools and technologies and identify what learners need to know about them. • 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. • Ability to work collaboratively with both technical and non-technical stakeholders. You thrive wearing multiple hats. • Strong written and verbal communication skills and attention to detail. • Strong sense of ownership, accountability, and urgency. • Experience using AI tools for content creation and workflow automation—without sacrificing truthfulness and quality. • PhD in Mathematics, Data Science, Computer Science, or a related field. • 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. • Why Datacamp? • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI. • Exciting Challenges • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more. • Work with the Best Instructors • Competitive Compensation – We offer a competitive salary with attractive benefits.
Responsibilities
• Manage the entire content development lifecycle and deadlines. • Source and recruit top-tier instructors who are subject matter experts. • Collaborate with instructors to create engaging content. • Design, review, and create content covering data science and data engineering topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective. • Work with cross-functional teams to enable content creation for more advanced technical topics. • Continuously assess course performance using learner feedback and engagement data to drive improvements. • Own your portion of the curriculum roadmap. • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering. • Identify opportunities and develop AI workflows to optimize content creation and enhance quality.
Benefits
• Exciting Challenges – Tackle some of the most important educational challenges in Data & AI. • Exciting Challenges • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more. • Work with the Best Instructors • Competitive Compensation – We offer a competitive salary with attractive benefits. • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture. • Work Flexibility • Professional Growth – Access to a yearly learning & development budget. • Professional Growth • Global Culture – Join a team that values international collaboration. • Global Culture • Annual Retreats – Participate in international company retreats, fostering a global team spirit. • Annual Retreats • Tools & Setup – Receive an annual IT equipment budget to refresh your workspace. • Tools & Setup • Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.
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