Institute Training Manager

The Institute Training Manager is responsible for overseeing the planning, development, and execution of training programs to ensure high-quality education and skill development.

Roles and Responsibilities:

1. Training Program Development & Management

• Design, develop, and update data science courses based on industry trends (Python, R, Machine Learning, AI, Big Data, Deep Learning, etc.).
• Ensure training content aligns with industry certifications and global best practices.
• Collaborate with data scientists and industry experts to enhance course materials.
• Implement blended learning methods (classroom, online, hands-on projects).
• Evaluate training effectiveness through student performance, feedback, and assessment metrics.

2. Trainer & Faculty Management

• Recruit, hire, and manage qualified data science trainers and mentors.
• Provide training and development opportunities for faculty members.
• Monitor trainer performance and ensure they use effective teaching methodologies.

3. Student & Learner Support

• Oversee student enrollment, onboarding, and learning progress tracking.
• Address student queries and provide career guidance in data science.
• Ensure students receive hands-on experience through real-world projects, case studies, and hackathons.

4. Technology & Infrastructure Management

• Ensure labs, computing resources, cloud environments (AWS, Azure, Google Cloud), and AI tools meet training requirements.
• Implement Learning Management Systems (LMS) and online learning platforms.
• Stay updated with emerging technologies in Data Science and AI and recommend upgrades.

5. Placement & Career Development

• Coordinate with out internal recruitment teams to ensure high placement rates for students.
• Guide students on resume building, interview preparation, and career planning.
• Organize career fairs and networking events for data science job opportunities.

6. Quality Assurance & Compliance

• Maintain high-quality training standards aligned with accreditation bodies.
• Track and analyze student success rates, feedback, and training improvements.
• Ensure compliance with educational and data privacy regulations.
• Manage training budgets and ensure efficient allocation of resources.

Key Skills Required:

• Strong knowledge of Data Science, AI, ML, Big Data, and Cloud Computing.
• Minimum 5 years of relevant experience.
• Experience in curriculum design and instructional methodologies.
• Leadership and faculty management skills.
• Knowledge of LMS, online training tools, and virtual labs.
• Strong industry networking and placement support capabilities.
• Excellent communication, organizational, and strategic planning skills.