Data Specialist

Packaging AI Solutions and Continuous Improvement

• Serve as the technical expert and lead on implementing changes for Aftermarket Parts Packaging artificial intelligence and digital tools.
• Work directly with packaging engineers, IT partners, data owners, and application owners to translate packaging requirements into practical technical solutions.
• Contribute to solution design, data preparation, integration, testing, user acceptance, deployment, and production support.
• Maintain, configure, update, and continuously improve deployed artificial intelligence solutions.
• Implement approved changes to business rules, prompts, workflows, user interfaces, data mappings, reports, and integrations through agile delivery.
• Monitor performance, user feedback, recurring issues, data quality, and override patterns to identify improvements.
• Maintain documentation, test evidence, version history, and release records.

Application and Solution Development

• Design, develop, test, deploy, and support full-stack web applications and cloud-based solutions.
• Build application programming interfaces and backend services that use Snowflake and other enterprise data platforms.
• Develop applications, utilities, agents, workflows, and decision-support tools for Aftermarket Parts Packaging.
• Perform enhancements to existing packaging applications, including the Salesforce-based internal packaging application EPSA.
• Use secure development, automated testing, code review, version control, logging, monitoring, and release-management practices.

AI, Data, and Enterprise Integration

• Create artificial intelligence-enabled applications, agents, search experiences, and engineering workflows using enterprise technologies.
• Translate packaging standards, calculations, business rules, processes, and expert knowledge into tested decision logic and maintainable digital solutions.
• Develop data pipelines, analytics, application programming interfaces, and integrations connecting Snowflake, packaging applications, Salesforce-based solutions, and other platforms.
• Include appropriate human review, exception handling, auditability, and rollback for higher-risk decisions and integrations.
  • Follow enterprise requirements for architecture, cybersecurity, data governance, access management, change management, and production releases.