Position
Assistant Manager – Warehouse Operations
Reporting To
Regional Manager / Head – Warehouse Operations
Location
Corporate Office-Gurgaon / Remote Monitoring Center (Travel to warehouses as required)
Role Summary
The Assistant Manager – Warehouse Operations will be responsible for virtually monitoring day-to-day warehouse operations across multiple locations. The role requires strong analytical capability to identify operational variations through ERP/WMS data, dashboards, and reports, ensuring strict adherence to SOPs and process compliance.
The ideal candidate should be highly proficient in Microsoft Excel, data analysis, warehouse management systems (WMS/ERP), and AI-powered analytical tools to identify root causes, improve operational efficiency, and drive continuous process improvements.
Key Responsibilities
Operational Monitoring
- Virtually monitor daily warehouse operations across multiple warehouses.
- Track inbound, outbound, inventory, picking, packing, dispatch, and productivity metrics.
- Ensure adherence to SOPs, SLAs, and operational KPIs.
- Identify operational bottlenecks and recommend corrective actions.
System & Process Deep Dive
- Perform detailed analysis of ERP/WMS transactions to identify process deviations and data inconsistencies.
- Conduct root cause analysis for inventory discrepancies, delayed dispatches, stock variances, and process failures.
- Verify system transactions against physical and operational processes.
- Identify process gaps and recommend preventive controls.
Data Analytics & Reporting
- Develop MIS reports and operational dashboards.
- Analyze trends using advanced Microsoft Excel (Pivot Tables, Power Query, Power Pivot, XLOOKUP, INDEX-MATCH, VBA/Macros preferred).
- Generate actionable insights from large datasets.
- Present findings to management with recommendations.
AI & Digital Transformation
- Utilize AI-powered tools to automate reporting and data analysis.
- Leverage AI for anomaly detection, predictive analytics, and operational trend analysis.
- Develop AI-assisted dashboards and improve decision-making through automation.
- Explore opportunities for digital transformation within warehouse operations.
Inventory & Process Compliance
- Monitor inventory accuracy and stock reconciliation.
- Ensure compliance with warehouse processes and audit requirements.
- Identify recurring operational issues and drive corrective and preventive actions (CAPA).
- Support internal and external audits.
Stakeholder Coordination
- Coordinate with warehouse managers, regional teams, IT, and customer service for issue resolution.
- Conduct virtual operational review meetings.
- Follow up on action plans and ensure timely closure.
Required Skills
- Strong understanding of warehouse operations and inventory management.
- Hands-on experience with ERP/WMS systems.
- Excellent analytical and problem-solving abilities.
- Advanced Microsoft Excel skills.
- Experience in Power BI or similar visualization tools.
- Working knowledge of AI tools such as Chat GPT, Microsoft Copilot, or other AI-based analytics platforms.
- Strong data interpretation and reporting capability.
- Excellent communication and presentation skills.
- Ability to work independently with minimal supervision.
Educational Qualification
- Graduate in Supply Chain, Logistics, Operations, or Commerce.
- MBA / PG Diploma in Supply Chain or Operations Management will be preferred.
Experience
- 5–8 years of experience in warehouse operations, inventory control, or supply chain management.
- Experience in monitoring multi-location warehouse operations will be an added advantage.
- Exposure to pharmaceutical, healthcare, FMCG, retail, or 3PL warehouse operations is preferred.
Key Performance Indicators (KPIs)
- Inventory Accuracy
- Order Processing Accuracy
- SLA Compliance
- Warehouse Productivity
- Process Compliance Score
- Root Cause Analysis Closure
- Dashboard Accuracy & Timeliness
- Reduction in Operational Variations
- Audit Compliance
- Continuous Improvement Initiatives Implemented
Desired Competencies
- Strong analytical mindset
- High attention to detail
- Process-oriented approach
- Decision-making based on data
- Continuous improvement mindset
- Ability to learn and adopt emerging AI technologies
- Excellent stakeholder management
- Strong ownership and accountability
