Working Days: Monday to Saturday (2nd, 4th & 5th Saturdays off)
Work Mode: Work From Office
Location: Mumbai (Lower Parel; occasional Andheri campus visits)
About IIDE:
IIDE is India's leading digital business school, offering industry-relevant programs in digital marketing, AI, and business. With a strong focus on experiential learning, we equip students, graduates, and working professionals with the skills required to thrive in today’s digital-first world.
Backed by a community of 500,000+ learners and 250+ industry experts, IIDE delivers hands-on training, real-world projects, and robust placement support. With campuses in Mumbai and Delhi, we continue to expand our presence across India and globally.
About the Role:
As the Assistant Lead - Automation, Data & Intelligent Systems at Mumbai, you will play a pivotal role in building scalable data systems, automation workflows, and reporting pipelines while leading a small team of 2-3 members. This is a hands-on leadership role for someone who thinks in systems, data models, and leverage - not just tools or tasks.
You will work closely with business teams to identify inefficient or repetitive processes and convert them into reliable automated systems, with a strong emphasis on data integrity, operational efficiency, and long-term scalability. You will also collaborate cross-functional to ensure robust reporting, intelligent workflows, and seamless system orchestration.
What You’ll Do:
Database & Data Architecture (Core Focus):
- Design and maintain clean, scalable database structures that act as the single source of truth.
- Make architectural decisions around data normalization, identifiers, and historical vs. current data management.
- Ensure data consistency, integrity, and reliability across systems.
- Write and optimize advanced SQL queries for operational and analytical use cases.
- Work with databases such as PostgreSQL, MySQL, BigQuery, or similar platforms.
- Design, build, and own end-to-end automation workflows across departments.
- Identify repetitive, monotonous, or error-prone processes and eliminate them through automation.
- Use tools such as n8n, Make.com, Google Apps Script, or equivalent automation platforms.
- Implement error handling, retries, monitoring, and alert systems.
- Continuously refactor and improve automations as systems scale.
- Build and manage data pipelines using tools such as Apache Airflow, Airbyte, or similar orchestration tools.
- Use Python for data transformation, validation, and processing.
- Integrate systems using APIs and webhooks.
- Optimize pipelines for performance, reliability, and cost efficiency.
- Build clear, decision-ready dashboards for leadership and cross-functional teams.
- Translate ambiguous business requirements into clear metrics and KPIs.
- Ensure reporting logic is transparent, accurate, and trusted.
- Identify and resolve root-cause data issues instead of surface-level dashboard fixes.
- Identify opportunities where AI can enhance automation and decision-making (e.g., classification, summarization, prediction, routing).
- Understand AI limitations and implement proper guardrails supported by clean data.
- Experiment responsibly with AI-driven solutions to improve system effectiveness.
- Lead and mentor a team of 2-3 members through guidance, reviews, and prioritization.
- Set quality standards for automation, data systems, and documentation practices.
- Manage multiple requests while communicating progress clearly to stakeholders.
- Document systems, workflows, and architectural decisions for long-term continuity.
Additional Duties:
- Collaborate cross-functional with internal stakeholders to improve operational efficiency.
- Continuously evaluate and improve systems for scalability and long-term sustainability.
- Perform any other reasonable duties as requested by management, aligned with the broad scope of the position.
Who You Are:
- 4-6 years of relevant experience in automation, data systems, analytics engineering, or related domains.
- Strong understanding of database structures, relational database fundamentals, and data modeling.
- Advanced SQL expertise with experience in writing optimized production-grade queries.
- Proven experience building and managing production-grade automation systems.
- Ability to debug, refactor, and own systems end-to-end.
- Strong systems-thinking mindset with the ability to think beyond individual tasks and focus on scalable solutions.
Should Have:
- Experience with Python for data processing, transformation, and validation.
- Hands-on experience with Apache Airflow, Airbyte, or similar orchestration tools.
- Exposure to cloud platforms such as GCP or AWS.
- Experience working with CRMs such as LeadSquared, Zoho, or similar platforms.
- Ability to translate business problems into structured systems and workflows.
Nice to Have:
- Curiosity and practical exposure to AI-assisted workflows and intelligent automation systems.
- Experience experimenting with emerging automation and data tools while maintaining strong foundational practices.
- Strong documentation and process-improvement capabilities.
Why Join IIDE?
- Work with one of India's fastest-growing digital education brands.
- Gain ownership of high-impact automation and intelligent systems.
- Collaborate with cross-functional teams to drive scalable business transformation.
- Work in a collaborative, high-growth, and innovation-driven environment.
- Explore and implement emerging AI-powered operational systems.
Who You’ll Thrive As
You’re someone who:
- Sees repetitive work as an opportunity for automation.
- Thinks long-term and prioritizes scalable systems over quick fixes.
- Is curious about AI and emerging technologies while staying grounded in strong fundamentals.
- Takes ownership and proactively improves systems without waiting for instructions.
- Enjoys turning chaos into structured, efficient, and reliable workflows.