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Key skills for this role
As an Assistant Lead – Automation, Data & Intelligent Systems , you will own database structures, 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, identify monotonous or inefficient processes, and convert them into reliable automated systems , with a strong focus on data integrity and long-term scalability .
IIDE is India’s most trusted digital marketing business school, offering government-recized online, offline, and postgraduate programs. We empower students, graduates, and working professionals to transform their careers and stay future-ready in the ever-evolving digital landscape.
About the Role
As an Assistant Lead – Automation, Data & Intelligent Systems , you will own database structures, 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, identify monotonous or inefficient processes, and convert them into reliable automated systems , with a strong focus on data integrity and long-term scalability .
What you'll Do
1. Database & Data Architecture (Core Focus)
Design and maintain clean, scalable database structures that act as the source of truth
Make architectural decisions around data normalization, identifiers, historical vs current data
Ensure data consistency, integrity, and reliability across systems
Write and optimize advanced SQL queries for operational and analytical use
Work with databases such as PostgreSQL, MySQL, BigQuery , or similar
2. Automation & System Design
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Design, build, and own end-to-end automations across departments
Identify monotonous, repetitive, or error-prone processes and eliminate them through automation
Use tools such as n8n, Make.com, Google Apps Script , or equivalent platforms
Implement error handling, retries, monitoring, and alerts
Continuously refactor and improve existing automations as scale increases
3. Data Pipelines & Orchestration
Build and manage data pipelines using tools such as Apache Airflow, Airbyte , or similar
Use Python for data transformation, validation, and processing
Integrate systems using APIs and webhooks
Optimize pipelines for performance, reliability, and cost
4. Reporting & Decision Support
Build clear, decision-ready dashboards for leadership and teams
Translate ambiguous business questions into well-defined metrics and KPIs
Ensure reporting logic is transparent, accurate, and trusted
Fix data issues at the root level , not just in dashboards
5. Intelligent & AI-Assisted Systems
Identify opportunities where AI can augment automation and decision-making (e.g., classification, summarization, prediction, routing)
Understand the limitations of AI and ensure clean data and guardrails
Experiment responsibly with AI to improve system effectiveness
6. Team Leadership & Ownership
Lead and mentor 2–3 team members through guidance, reviews, and prioritization
Set quality standards for automation, data, and documentation
Manage multiple requests and communicate progress clearly to stakeholders
Document systems and decisions for long-term continuity
Verified company details for this employer are not available yet.
Full-time
Mid · 3+ years experience
Onsite
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