upGrad - Manager - Content

Roles & Responsibilities:

- Understand the industry requirements and design the program curriculum to meet the required standards.

- Lead and mentor a team of content strategists to develop the content of the program

- Develop and decide appropriate corrective and preventive actions to improve the learning experience of students.

- Guide the content strategists in designing the flow of a course or developing a case study.

- Review content, and case studies and provide feedback on the required improvements to enhance content quality.

- Identify the right teaching pedagogy to deliver the content and create the assessments

- Responsible for the content quality, instructional design, and overall learning experience of students

- Responsible for identifying and collaborating with industry experts in developing the course content and designing the curriculum.

- Plan and execute student competency assessments to understand the learning gaps and improve student outcomes.

- Collaborate with the student success team to ensure student engagement and identify areas of improvement in the learning experience.

- Collaborate with the delivery team in the smooth functioning of the grading process and executing the live sessions.

- Collaborate with the careers team to extend any support to the students in achieving the required outcome.

- Responsibilities of an ML Senior Manager

- Leverage expertise in Machine Learning, Data Science, and Product Management to drive innovative growth initiatives.

- Conduct market research and perform gap and competitor analysis to identify potential areas for launching new machine learning and related program curriculums.

- Develop a product-market fit strategy to align with industry needs and create courses that ensure students meet high standards.

- Quickly grasp complex concepts to ensure the quality of content, instructional design, and the overall course experience.

Required Skills and Qualifications:

- Graduates with a B.Tech or BE from Tier 1/2 engineering colleges or those from Tier

1 companies or startups. 2-3 years of experience in product or curriculum management/development focused on ML/AI courses, or a Master's degree in ML/AI-related fields.

- Proficient in various ML techniques such as Supervised Learning, Unsupervised

- Learning, and Deep Learning, with strong knowledge of Python and ML libraries like NumPy, Pandas, and Scikit-learn.

- Experience or knowledge in MLOps is desirable.

- Excellent written and verbal communication skills.