Senior Manager - Content (Data / AI / ML)

We are looking for a Senior Manager – Content (Data / AI / ML) to own the design, development, and quality of our online program portfolio across Data Science, AI, and ML. This is a leadership role responsible for setting content and pedagogical standards, managing a team of content managers and SMEs, and partnering with senior stakeholders to shape program strategy and outcomes.

Job Description

Portfolio ownership & Curriculum Development • Own end-to-end content strategy and roadmap across multiple programs (Data Science & Analytics, ML & Deep Learning, AI & GenAI, Data Engineering & MLOps). • Translate market, employer, and learner insights into a differentiated, outcome-driven curriculum portfolio. • Define program learning architecture — competency maps, rolealigned outcomes, assessment philosophy and ensure consistency across programs. Instructional Design & Content Quality • Establish and enforce content quality frameworks across videos, live sessions, notebooks, readings, and assessments. • Serve as the final pedagogical and technical reviewer / escalation point for assigned programs. • Drive innovation in learning design (AI-enabled learning experiences, hands-on labs, applied projects).

Faculty & SME Coordination • Build and manage relationships with senior faculty, industry SMEs, and (where relevant) university/partner stakeholders. • Own SME briefing, deliverable governance, and content sign-off; negotiate scope and timelines.

Cross-functional Collaboration • Partner with Program Management, Delivery, Video Production, Tech, and senior leadership to align content with business and launch goals. • Represent the content function in program reviews and strategic planning; report on quality metrics and outcomes. Process & Execution Support • Own content development and quality-review processes; drive standardization and operational efficiency. • Lead audits, refresh cycles, and data-informed improvement of program performance.

Skills Required Must-Have • Strong foundational understanding of Data Science / ML concepts (Python, statistics, ML basics). • Ability to understand and review technical content and hands-on with coding • Experience working on educational content, curriculum development, or learning programs (EdTech / L&D / Higher Ed). • Strong attention to detail and ability to manage multiple deliverables.

Good-to-Have • Familiarity with online/blended learning formats. • Exposure to AI/ML tools, cloud platforms, or GenAI concepts. • Comfort working with faculty, SMEs, and cross-functional teams