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Tier-1 pharma, metro role, broad product-technical skillset and senior title increase applicant competition.
Demands supply-chain and regulated-industry product experience, limiting cross-industry transferability moderately.
Requires senior technical-product leadership, solution architecture and knowledge-graph/cloud expertise, making filters fairly strict.
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Lead strategy and delivery of data and AI products improving supply chain planning, sourcing, and delivery in global operations.
Define and govern scalable solution architectures including Data, Analytics, AI, and Knowledge Graphs for supply chain digital products.
Lead multi-functional teams and vendor partners to execute technical roadmaps, ensuring measurable business outcomes like improved service levels and operational risk reduction.
Experience delivering large-scale digital products in Supply Chain, Manufacturing, Logistics, or Operations domains.
Strong solution architecture expertise including cloud-based data platforms and enterprise knowledge graph solutions (e.g., Neo4j).
Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics, or related field (or equivalent experience).
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to translate business objectives into technical plans with measurable impact in complex multi-team environments.
Experience operating within Agile product delivery and managing stakeholder and vendor relationships to align priorities and govern delivery.
Technical depth in cloud ecosystem architectures, data engineering, enterprise knowledge graph design, and AI/ML innovation for supply chain applications.