Key Responsibilities
Supply Chain Analytics Enablement
· Enable downstream usage for,
- Supply chain planning and forecasting
- Inventory optimization and demand analytics
- Vendor and procurement performance reporting
- Operational KPIs and executive dashboards
- SKU Management
- Design data models for supply chain domains such as inventory, logistics, fulfillment, and supplier performance.
- Establish architecture standards, patterns, and design guidelines aligned with the enterprise data strategy.
- Partner with analytics and data science teams to ensure data is fit for advanced analytics platforms.
Data Governance & Quality
· Partner with governance and security teams to ensure,
o Data quality, consistency, and reliability
o Data lineage, metadata management, and documentation
o Compliance with data privacy, security, and internal policies
Leadership & Collaboration
· Collaborate with product owners, supply chain leaders, engineering teams, and vendors
· Translate business and operational needs into technical architecture solutions
· Mentor data engineers and architects on best practices and design principles
Qualifications
· SQL & BI: Strong SQL/analytics skills and experience building dashboards
· Data Governance: Familiarity with lineage/audit tools (OpenLineage), data privacy, and regulatory controls.
· Communication: Strong cross‑functional collaboration and experience presenting to executives.
· Education: Bachelor’s degree in CS/Engineering, or equivalent practical experience.
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