Role & Responsibilities

The scope is to manage enterprise applications and emerging technology initiatives across the organization. The role will be responsible for ERP, LMS (Moodle), AI integrations, and automation initiatives, along with ensuring application security, governance, and compliance. This is a techno-functional role requiring strong execution capability, stakeholder management, and hands-on understanding of modern digital ecosystems.

1. Application & Project Management

1. Lead end-to-end implementation and management of:
1. ERP systems (ERPNext or similar)
2. Learning Management Systems (Moodle or similar)
3. Internal web/mobile applications

- Gather business requirements and translate them into technical solutions
- Define project scope, timelines, and deliverables
- Drive UAT, deployment, and post-go-live support
- Ensure adherence to SOPs, maker-checker processes, and governance frameworks

2. AI & Automation Initiatives

1. Drive implementation of AI-based use cases:
1. AI-based assessment systems (audio/video/text)
2. Chatbots (WhatsApp / LMS-integrated)
3. Call analysis and transcription systems

- Work with tools/frameworks like:

1. OpenAI / Gemini APIs
2. Workflow automation (e.g., n8n or similar)

- Identify automation opportunities across departments.
- Ensure scalability and cost optimization of AI solutions

3. Application Security & Governance

1. Ensure secure design and deployment of applications
2. Coordinate VAPT, audits, and compliance initiatives
3. Implement controls around:
1. Authentication & access management
2. Data protection (PII handling, encryption)
3. API security and integrations

- Align systems with frameworks like NIST / ISO / DPDP (India)

4. Vendor & Stakeholder Management

1. Manage vendors for ERP, LMS, AI,



and infrastructure
2. Review SOWs, contracts, and deliverables
3. Ensure timely delivery and adherence to SLAs
4. Act as a bridge between business teams and technical vendors

5. Operations & Continuous Improvement

1. Ensure smooth day-to-day functioning of applications
2. Drive continuous improvements and feature enhancements
3. Handle escalations and critical issue resolution
4. Maintain proper documentation (architecture, workflows, SOPs) s

Candidate Specifications

Educational Qualification

Bachelor's degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, Data Science, or a related discipline. A postgraduate qualification in Technology, AI/ML, Data Science, Education Technology, or Management will be an advantage.

Years of Experience & other requirements

8-12 years of relevant professional experience, including at least 35 years in a managerial or leadership capacity in IT, AI, EdTech, digital learning or technology-enabled education. The candidate should have demonstrated experience in applying AI and emerging technologies to solve education-related challenges, leading digital/technology initiatives from concept to implementation, and working with cross-functional teams and external partners. Experience in school education, large-scale education programmes, government systems or the development/deployment of digital learning solutions will be an advantage.

Experience in education / NGO / EdTech domain (good to have)

Experience working with cross-functional teams

Age: 35+

Other Skills

1. Robust project management and execution skills
2. Ability to handle multiple stakeholders and priorities
3. Strong problem-solving and analytical mindset
4. Excellent communication and documentation skills

📌 Senior Manager -IT and AI in Education (Mumbai)
🏢 Kotak Education Foundation
📍 Mumbai