Chennai, Tamil Nadu
Job Summary
Level of Education
Bachelor’s degree with 10+ years within Digital & Technology environment and within E2E supply chain.
Strong skills in managing and building Data Products and designing Data Architecture for large enterprises.
Experience
Strong hands-on experience in SQL, relational databases, data exploration, and Business Intelligence tools (Tableau, Power BI, or equivalent).
Proven ability in logical problem-solving, data design, and analytical thinking, with working exposure to Python or similar scripting languages preferred.
Advanced proficiency in Excel for data analysis, validation, and dashboard-ready presentations.
Solid experience ensuring data quality, integrity, and compliance across enterprise reporting and data products.
Hands-on domain experience across Demand, Supply, Inventory Planning, Logistics Operations, and Manufacturing within Pharma / Consumer Health environments.
Strong understanding of planning, data management, order management, logistics execution, and visualization platforms.
Excellent communication and stakeholder management skills, with the ability to influence and collaborate across global, multi-level stakeholders.
Key Responsibilities
Data Architecture Design & Data Product Delivery (BUILD)
- Design scalable, reusable data architectures for Global Logistics domains (shipments, lanes, carriers, inventory, cost, compliance) and define Data models, products aligned with Enterprise
- Lead end-to-end delivery of logistics data products development
- Translate business requirements into technical architecture
Data Quality, Operational Stability & Reliability (MAINTAIN)
- Own data quality, availability, and freshness of logistics data assets. Implement monitoring, alerting, and remediation frameworks
- Reduce recurring data issues and manual reconciliations
- Ensure stable operation of data pipelines with partners
System & Vendor Integration (INTEGRATE)
- Architect and manage integrations between TMS, WMS, ERP, IoT and external partners (3PLs, carriers, customs brokers)
- Enable API-based, event-driven, and batch integrations
Data Enablement for Analytics & AI (INTEGRATE)
- Enable consumption of Logistics data for AI/ML, Analytics
- Partner with Analytics, Product, and Digital Teams for Insights
Legacy Modernization & Migration (EXIT)
- Lead data migration strategies during system modernization
- Ensure no business disruption or data loss during transitions
Technology Rationalization (EXIT)
- Identify opportunities to decommission obsolete data assets and pipelines & reduce technical debt and platform sprawl.
- Support business cases for platform consolidation & optimal costs
Governance & Compliance
- Ensure data architecture complies with GxP, SOx, Audit needs
- Enforce metadata, lineage, access, and retention standards.
- Act as a gatekeeper for architecture quality
Team Leadership, Capability Building & Stakeholder Partnership • Mentor and guide Senior Associates and technical contributors.
- Provide architectural direction and design reviews.
- Serve as a trusted data architecture partner
Skill Requirements
Languages
English
Computer Skills
Strong proficiency in SQL, relational databases, and data querying.
Strong experience with Business Intelligence tools (Power BI, Tableau).
Python or other scripting languages and cloud data platforms.
Advanced skills in Microsoft Excel and presentation tools for analytics communication.
Hands-on experience in:
Tableau (Must)
Python (Must)
DATAIKU (Must)
SQL
Database Management
Query Languages
Additional Preferred Skills
Data Architecture and Data Product Management
Enterprise Data Modeling
Supply Chain & Logistics Analytics
Cloud-Based Data Platforms
Data Governance and Compliance (GxP, SOX)
Stakeholder Management and Cross-Functional Collaboration
AI/ML Data Enablement and Analytics Integration
Other Requirements
Data Architecture and Data Product Management
Enterprise Data Modeling
Supply Chain & Logistics Analytics
Cloud-Based Data Platforms
Data Governance and Compliance (GxP, SOX)
Stakeholder Management and Cross-Functional Collaboration
AI/ML Data Enablement and Analytics Integration
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