About DataCamp
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
NY, US
Year founded
2013
Full-time
Medical, Dental, Vision
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Job description
Curriculum Manager - Data Science and AI 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 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. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start‐up.
Here are just a few of the reasons why you'll love being on our team: Exciting Challenges – Tackle some of the most important educational challenges in Data & AI. Work with the Best Instructors – Partner with top‐tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more. Competitive Compensation – We offer a competitive salary with attractive benefits.
Work Flexibility – Benefit from flexible working hours and a remote‐friendly culture. Professional Growth – Access to a yearly learning & development budget. Global Culture – Join a team that values international collaboration.
Annual Retreats – Participate in international company retreats, fostering a global team spirit. Tools & Setup – Receive an annual IT equipment budget to refresh your workspace. 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. #J-18808-Ljbffr
datacamp.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Manager?
A: To succeed as a Data Manager, key technical skills include proficiency in data management tools and technologies such as data warehousing, business intelligence software, and data visualization platforms. Additionally, strong analytical and problem-solving skills, as well as expertise in data governance, security, and compliance, are essential for ensuring data quality and integrity. Effective Data Managers also possess soft skills like strong communication, project management, and leadership abilities, which enable them to collaborate with stakeholders, prioritize tasks, and drive data-driven decision-making across the organization.
Q: What is the career path for a Data Manager?
A: A Data Manager's typical career progression involves starting as a Data Analyst or Coordinator, progressing to a Data Manager or Senior Data Analyst role, and eventually becoming a Director of Data Management or a Chief Data Officer. Key opportunities for skill development include learning data governance, data quality, and data visualization tools, as well as developing leadership and project management skills to oversee data teams and drive business insights. Long-term career prospects may lead to roles such as a Data Scientist, Business Intelligence Manager, or even a Chief Information Officer, offering opportunities to leverage data expertise in various business and technical capacities.
