15 hours ago
Responsibilities
- Design, develop, test, deploy, and monitor AI, generative AI, machine-learning, natural-language-processing, and intelligent automation solutions for global supply chain needs.
- Build AI assistants, bots, document intelligence, supplier-data validation, entity-resolution, classification, exception-management, and repetitive-task automation capabilities.
- Design and maintain scalable data pipelines, data models, APIs, integrations, dashboards, alerts, reporting tools, and predictive or prescriptive analytics.
- Integrate enterprise platforms, supplier systems, data warehouses, third-party risk providers, and external data sources while improving supplier-data quality and governance.
- Develop solutions supporting supplier onboarding, qualification, development, risk, compliance, sourcing, capacity, quality, and performance management.
- Facilitate discovery, translate requirements into technical specifications and solution designs, and create prototypes and proofs of concept.
- Participate across planning, development, testing, deployment, documentation, training, production support, troubleshooting, and root-cause analysis.
- Collaborate with global business, technical, risk, compliance, cybersecurity, legal, product, project, and external provider teams.
- Support responsible AI, secure development, data privacy, model governance, monitoring, explainability, and human oversight.
Requirements
- Preferred experience in global supply chain, procurement, supplier management, manufacturing, logistics, or third-party risk management.
- Knowledge of supplier onboarding, qualification, development, compliance, performance, and risk processes.
- Experience with platforms such as SAP, Snowflake, Power BI, Azure, AWS, Databricks, Coupa, or comparable enterprise technologies.
- Experience with generative AI, retrieval-augmented generation, vector databases, AI agents, document intelligence, or natural-language processing.
- Familiarity with master-data management, supplier-data architecture, entity resolution, and unique-key mapping.
- Understanding of DevOps, MLOps, CI/CD, automated testing, model monitoring, and production support.
- Familiarity with responsible AI and global regulatory requirements.
- Experience working in Agile, Scrum, product-management, or program-management environments.
- Relevant certifications in AI, cloud development, data engineering, analytics, or supply chain management are beneficial.
- Ability to translate business and technical requirements, communicate clearly with global stakeholders, and apply analytical problem-solving and user-centered solution design.
Benefits
- The role supports a global organization with collaboration across regional teams, suppliers, external technology providers, and multiple business functions.
Categories
AI ApplicationsData Engineering
About Jabil
Jabil is a public electronics manufacturing services company that designs, builds, and manages supply chains for brands in electronics, healthcare, automotive, and industrial markets. Founded in 1966 and headquartered in St. Petersburg, Florida, it operates more than 100 sites across numerous countries. Its offerings span design engineering, contract manufacturing, materials and tooling, packaging, and global fulfillment and aftermarket services.