Lead dialogue with client executives and frontline users to clarify business and operational challenges, constraints, and priorities, and define the scope and outcome metrics for AI adoption
Evaluate technical options, business value, and risks, and engage multiple stakeholders to lead critical decision-making and build consensus
Develop AI solution architectures and deployment roadmaps by combining generative AI, agentic AI, RAG, API, data platforms, and cloud technologies
Design, implement, and review technical integration with enterprise systems, taking performance, reliability, observability, security, and governance into account
Lead end-to-end delivery from requirements definition and prototyping through implementation, testing, production deployment, and operational improvement, taking responsibility for quality and client outcomes
Analizar y estructurar datos financieros, automatizar flujos de información y construir modelos analíticos de alto impacto para la toma de decisiones estratégicas de la Región y sus OpCos.
Compensation
Conoce nuestros beneficios: Bono de canasta mensual, Auxilio de conectividad, Dos (2) días libres adicionales al año, Cinco días por matrimonio, Cinco días de licencia extendida de maternidad o paternidad, 4 primas extralegales al año, Bono anual de resultados corporativos, Cubrimiento de póliza de medicina prepagada al 66%, Seguro de vida al 100%, Contrato directo a término indefinido.
Responsibilities
Diseñar, desarrollar y mantener modelos de datos y tableros interactivos (Power BI, Tableau o similares) para el monitoreo del desempeño financiero, análisis de variaciones reales vs. presupuestos y seguimiento de KPIs regionales.
Desarrollar scripts de código (ej. Python, SQL, R, Power Query/DAX) para la extracción, limpieza, transformación y modelamiento eficiente de grandes volúmenes de datos financieros provenientes de diversas fuentes (ERP, CRM, bases de datos).
Aplicar e integrar herramientas de Inteligencia Artificial (IA) en los flujos de trabajo financieros para optimizar el análisis predictivo, detección de desviaciones, generación automática de insights y soporte en la elaboración de reportes de gestión de liderazgo regional.
Senior member of a Performance Engineering scrum team responsible for assessing and analyzing performance of Charles River products, identifying bottlenecks, and providing recommendations and support to customers and internal teams.
Responsibilities
Work closely with Product Owners, Scrum Teams, Implementation Teams or Professional Services to understand Non-Functional Requirements
Create and maintain functionality within Performance Test Frameworks
Create comprehensive Performance test plans from Non-functional Requirements
Create and execute automated performance tests
Create, organize and maintain Test Artifacts
Requirements
B.S. degree in Computer Science, Engineering, Mathematics, Physics or other technical course of study or Business with an MIS background
Lead data science initiatives for Boeing Global Services’ distribution portfolio, developing and deploying machine learning models, analytics tools, and optimization solutions to improve supply chain operations worldwide.
Compensation
Summary pay range: $106,000 - $162,000
Responsibilities
Design, implement, and operate end-to-end data pipelines, ML models, backend services, and frontend dashboards
Build and productionize forecasting, demand-sensing, and inventory/fleet optimization models
Implement telemetry ingestion and preprocessing for fleet telematics, ERP/MRP feeds, maintenance systems
Create interactive scenario-planning tools and visualizations
Implement role-based access, data lineage, and governance for sensitive enterprise datasets
Requirements
Bachelor's degree in Data Science, Computer Science, related field