Curriculum and Content Strategy Lead, AI and Data Products

Overview

At 2U, we are all in on purpose. We are motivated by our mission – to eliminate the back row in education – and connected by our shared passion to deliver world-class digital education  the parent company of edX, the world’s leading online learning platform, 2U powers more than 4,000 online higher education offerings – from free courses to full degrees.

Together with more than 230 colleges, universities, and corporate partners, we are helping to unlock human potential.

Responsibilities Include, But Are Not Limited To:

Data and AI Product & Content Design

• Act as principal subject-matter expert in the fields of data analytics, data science, machine learning, and generative AI and emerging topics in those fields.
• Lead the creation of technical and non-technical content for cross-product verticals, including Professional & Industry Certificates, Short Courses, and MOOCs.
• Research and stay up-to-date on technology trends and new tools, to create content to meet market and student demands.
• Establish, implement and promote best practices in backwards design content development across 2U/edX’s portfolio of Bootcamp & Alternative Credential products.
• Provide expert guidance on content and technology best practices in the fields of data analytics, data science, machine learning, generative AI, and emerging topics.
• Collaborate with internal teams and external partners on high-level design choices for the knowledge, skills, and abilities that will be taught in each curriculum.
• Work with internal teams, learners and industry experts to conceive of and collaborate on new ideas for enhancing student learning outcomes.
• Define workflows, processes, and standards for developing high quality curricula and identify efficiencies between content and teams in multiple product verticals.
• Provide strategic guidance to contributors on new content development, based on your knowledge of emerging trends and industry demands to inform future growth of multiple product categories in the Alternative Credential product portfolio.
• Maintain quality of curriculum to meet product requirements and student needs via data-driven revisions and product enhancements.
• Prioritize, scope, and submit requests for ongoing course revisions and product enhancements in alignment with investment guidance, learner needs, product requirements, and business strategy.

Curriculum and Content Strategy

• Review and maintain product catalogue of internal and partner owned curricula in your domain of expertise, identifying areas of opportunity, product refreshes, and new product areas.
• Serve as internal subject matter expert for reviewing external products and content for catalogue fit.
• Partner with cross functional leads to inform decision-making around new program development and potential opportunities across multiple domains including data analytics, data science, machine learning, generative AI, and emerging topics, and the applications of these fields across a variety of industries.

Project Management

• Work with stakeholders across departments and external leaders to support the future growth of multiple product verticals.
• Leverage external relationships to support development of new products.
• Effectively communicate requirements to internal or external teams responsible for content development to ensure all courses are developed to the highest standard of quality and meet agreed-upon requirements.
• Internal point of contact and representative of Product Strategy for each assigned program; advocate and representative for curricular and partner academic needs.
• Develop and maintain successful relationships with key members of the internal Product Strategy team and other key stakeholders, as required for each assigned program.

Things That Should Be In Your Background:

• 5-10+ years of experience in data science and machine learning
• A strong familiarity with technical learning content and domains, including:
• Data analytics
• Data visualization
• Python and/or R
• Data Science
• Machine Learning
• Natural Language Processing
• Large Language Models
• Generative AI and its applications across industries
• Advanced degree or related course work, or equivalent professional…