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Job Description & How to Apply Below
Role Objective:
The Logistics Systems Architect is a strategic architect of scalable, AI-powered logistics
frameworks, optimizing routes with advanced ML, driving productivity via real-time analytics, and
maximizing resources through predictive modeling - all grounded in realities like traffic flux and
regulations. You'll collaborate with cross-functional teams, mitigate risks via simulations, and
own KPIs to deliver hyper-efficient logistics operations.
Key Responsibilities
-->Logistics Systems Architect
Architect end-to-end logistics operations, designing scalable frameworks for route optimization using advanced AI/ML (e.g., reinforcement learning for dynamic routing via Tensor Flow/PyTorch) to optimize resources and adapt to real-time disruptions.
Pioneer resource utilization strategies with predictive analytics—modeling multi-variable scenarios (demand surges, fuel hedging) using optimization solvers like Gurobi or CPLEX for 95%+ asset efficiency.
Champion tech integration as the central hub: lead API ecosystems linking TMS/ERP/IoT platforms, automate decision workflows (e.g., RPA for dispatch), and pioneer GenAI for anomaly detection in supply chains.
Embed ground realities into architecture—lead war-room simulations for edge cases (e.g., festive peaks, port strikes), forge vendor ecosystems, and iterate designs based on driver feedback and hyper-local data (traffic APIs, weather models)
Strategically mitigate risks: develop probabilistic models for disruptions (Monte Carlo simulations), ensure regulatory compliance (e.g., GST/e-way bill automation), and architect contingency blueprints.
Collaborate cross-functionally with engineering and C-suite to roadmap 3-5 year ops evolution; mentor teams and evangelize data-driven culture.
-->Operational Oversight
Lead and oversee Pan-India last-mile logistics operations from the central office.
Develop and implement operational strategies to improve delivery performance, efficiency, and customer satisfaction.
Establish standardized operating procedures (SOPs) across all logistics hubs and delivery networks.
Identify operational bottlenecks and implement process improvement initiatives.
Drive cost-reduction programs while maintaining service quality and operational compliance.
-->Route Optimization & Network Efficiency
Drive route optimization initiatives to improve delivery productivity, reduce transit time, and lower transportation costs.
Analyze delivery patterns, demand fluctuations, and geographic constraints to enhance network performance.
Collaborate with technology and operations teams to implement routing and planning tools.
-->Vehicle Allocation & Fleet Utilization
Develop and manage optimized vehicle allocation strategies across hubs and regions.
Monitor fleet utilization, capacity planning, and vehicle productivity metrics.
Identify opportunities to reduce idle capacity and improve asset efficiency.
-->Manpower Planning & Productivity
Lead workforce planning initiatives to ensure optimal staffing levels across logistics hubs.
Forecast manpower requirements based on business volumes, seasonal demand, and operational trends.
Drive productivity improvement programs and resource optimization initiatives.
Orchestrate productivity transformations across fleets, warehouses, and last-mile networks; build centralized dashboards (e.g., integrating Kafka for real-time streams into Grafana) to unify metrics and drive cross-team accountability.
-->Performance Management & Analytics
Establish and monitor key operational KPIs including:
Delivery SLA adherence, Vehicle utilization, Route efficiency, Hub productivity, Cost per shipment, and Manpower productivity.
Prepare and present periodic MIS reports and operational dashboards to leadership.
Leverage analytics to support strategic decision-making and continuous improvement.
Utilize data-driven insights to improve turnaround times, delivery success rates, and hub efficiency.
Key Requirements
8+ years logistics/supply chain; 3+ years architecting large-scale ops (national fleets/e-comm)
Strategic influencer; bilingual (English + Hindi/regional) for field to C-suite bridging.
Skills & Certifications
Key
Skills:
End-to-End Logistics, Supply Chain Management, Network Optimization, Vendor Management, Lean/Six Sigma/Kaizen, KPI Management, SLA Optimization, Python/SQL, Big Data Pipelines (Spark/Snowflake), Data Analytics (Power BI/Excel), and Strategic Influencing.
Key
Certifications:
PMP, AWS Solutions Architect, INFORMS, Project Management (Google/Coursera), and Lean Supply Chain Management certifications.
Preferred Qualifications
Master's in Operations Research, Industrial Engineering, Data Science, or equivalent
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