Lead, Development & Delivery, Learning Products

Great Learning · Bangalore

Source and collection record

Last observed by our collector: 9 October 2026 at 12:40 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: bangalore-and-gurgaon-lead-development-delivery-learning-products

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

What will you own: • Own the end-to-end lifecycle of learning products — from design and development to launch, delivery, and continuous improvement • Lead business growth through learning products across the spectrum of artificial intelligence - analytics, data science, generative ai, agentic ai • Shape product direction by defining curriculum scope, learning experience design, and program strategy • Partner closely with faculty, SMEs, industry experts, operations, marketing, sales, delivery, and leadership to build market-leading programs • Work with Technology and Analytics teams to integrate AI-powered and Generative AI features into learning products and academic operations • Manage and guide a team of SMEs (data scientists, AI engineers, analytics engineers) to develop learning assets — including video lectures, code, case studies, projects, and assessments • Ensure programs deliver strong learner outcomes, market relevance, and business impact Requirements: • Strong technical depth with the ability to build solutions hands-on, not just conceptualize them • Proficiency in relevant technical domains, including coding, data science, machine learning, AI, and agentic AI frameworks • Demonstrated ability to apply AI and ML to real-world business and industry problems • High learning agility and ability to stay current with evolving tools, platforms, and methodologies • Ability to balance technical rigor, learning design quality, and delivery execution • Comfort working cross-functionally and leading technical SMEs and domain experts