12 publicaciones de empleo destacadas de ai support engineer en monterrey, nle (¡Están contratando!)

(CEN) PROCUREMENT PRODUCT ADVISOR
CEMEX —San Pedro Garza García, N. L.
- Administración de personal
- Inglés
- Maestría
Thermo-Fluid Development Engineer
Güntner de México, S.A. de C.V. —Apodaca, N. L.
- Inglés
Postulación rápida
Business Operations Manager
Epicor —Monterrey, N. L.
- Tiempo completo
- Administración de personal
- Salesforce
- ERP systems
8d
Quote to Cash Coordinator
Epicor —Monterrey, N. L.
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Servicio al cliente
5d
Project Manager
Surt AI —Monterrey, N. L.
Postulación rápida
SAP Developer
KION Group AG —Guadalupe, N. L.
- DevOps
- Inglés
Customer Operations Manager
Epicor —Monterrey, N. L.
- Tiempo completo
- Salesforce
- ERP systems
- Licenciatura
6d
Finance Ops Coordinator
Epicor —Monterrey, N. L.
- Tiempo completo
- ERP systems
- Microsoft Office
- Bachillerato
3d
Collections Analyst
Epicor —Monterrey, N. L.
- Tiempo completo
- Administración de personal
- Servicio al cliente
- ERP systems
Tech Lead - Infrastructure Services S 4C
EDM S de RL de CV —San Pedro Garza García, N. L.
- Azure
- Oracle
- Administración de personal
Postulación rápida
2d
Senior Backend Software Engineer - Python
Trivelta —Monterrey, N. L.
- Python
Postulación rápida
Operador General
APCS Mexico S DE RL DE CV —Apodaca, N. L.
- Capacitación
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(CEN) PROCUREMENT PRODUCT ADVISOR

CEMEX -
San Pedro Garza García, N. L.

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Información del empleo

Cualificaciones

Power BI
Administración de personal
Inglés
Tableau
Maestría
Licenciatura
Gestión de productos
Negocios
Ciencia de los datos

Descripción completa del empleo

Job Description

Leads the design and delivery of digital and analytics products that enable smarter, faster, and more scalable decision-making across the procurement lifecycle. The role acts as the product owner for procurement intelligence solutions, defining the roadmap, use cases, and priorities for analytics platforms, dashboards, and AI-driven tools. It also leads the procurement analytics team responsible for developing and maintaining data products and insights used across the organization. Working closely with data governance, data engineering, and procurement stakeholders, the position ensures that procurement data is translated into actionable insights, decision intelligence, and digital capabilities that support sourcing strategies, supplier management, and procurement performance.

Main Responsibilities

Define and manage the roadmap for procurement digital and analytics products, aligning priorities with procurement strategy and business needs.
Act as product owner for procurement intelligence solutions, including the Procurement Cockpit, analytics dashboards, and decision-support tools.
Lead and develop the procurement analytics team responsible for building dashboards, insights, and analytics products supporting procurement decision-making.
Identify and prioritize analytics and AI use cases that enhance sourcing decisions, supplier insights, risk monitoring, and procurement performance.
Translate procurement business questions into product requirements, coordinating with data engineers and data scientists to develop scalable analytics and AI solutions.
Oversee the lifecycle of procurement digital products, including design, development, deployment, and continuous improvement.
Ensure procurement products deliver reliable and actionable insights by collaborating with Data Governance and Master Data teams on data definitions and data quality.

Position Challenges

Operating at the intersection of procurement, data, and technology, translating complex procurement needs into scalable digital products that deliver measurable value.
Balancing multiple analytics and AI initiatives while prioritizing use cases that generate the highest impact for procurement decision-making.
Ensuring digital products remain aligned with evolving procurement strategies while maintaining strong data governance and data quality foundations.
Coordinating cross-functional collaboration between procurement stakeholders, data engineers, data scientists, and enterprise data teams.
Driving adoption of analytics and AI solutions across procurement teams with different levels of data maturity.

Qualifications

Languages

English: Business-fluent written and spoken.

Academic Background

Bachelor’s degree in Engineering, Data Science, Economics, Finance, Computer Science, Business Analytics, or related fields.
Master’s degree or specialization in Data Analytics, Artificial Intelligence, Digital Transformation, or Business Analytics is a plus.

Areas of Expertise

Digital product management and analytics solution development.
Procurement analytics, spend analysis, and sourcing insights. (plus)
Artificial intelligence and advanced analytics use cases in business environments.
Data-driven decision-making and business intelligence.
Translating business needs into technical and analytical solutions.

Technical Skills

Strong understanding of analytics architectures and enterprise data environments.
Experience working with analytics tools such as Power BI, Tableau, or similar platforms.
Familiarity with AI, machine learning, and GenAI applications.
Experience working with enterprise data platforms and data pipelines.
Ability to define product requirements and coordinate development with technical teams.

Soft Skills

Strategic thinking and strong problem-solving capabilities.
Ability to translate complex data concepts into clear business insights.
Strong communication and stakeholder management skills.
Product mindset with focus on value delivery and continuous improvement.
Ability to lead cross-functional initiatives in a global matrix organization.

Internal/External Relations

INTERNAL

Global Procurement Leadership
Procurement Category and Sourcing Teams
Data Governance Lead and Data Engineering teams
Data Science teams
Procurement Digital Enablement teams
IT / Enterprise Data Platform teams

EXTERNAL

Consultants supporting enterprise initiatives (Mckinsey)
Data platform providers and analytics technology vendors
External partners supporting analytics or AI initiatives

CEMEX Diversity and Inclusion Statement

At CEMEX, we recognize the diversity of the world in which we live and in which we do business. We respect diversity, we address the inclusion and non-discrimination of any talented person, regardless of gender, physical ability, age, sexual orientation, culture, ethnicity, religion, political affiliation, marital status, pregnancy / maternity / paternity, and nationality. We promote a culture of equity for the construction of a sustainable business and the well-being and development of CEMEX employees.

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ai support engineer empleos en monterrey, nle

(CEN) PROCUREMENT PRODUCT ADVISOR

Thermo-Fluid Development Engineer

Business Operations Manager

Quote to Cash Coordinator

Project Manager

SAP Developer

Customer Operations Manager

Finance Ops Coordinator

Collections Analyst

Tech Lead - Infrastructure Services S 4C

Senior Backend Software Engineer - Python

Operador General

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Job Description

Main Responsibilities

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Qualifications

Internal/External Relations

CEMEX Diversity and Inclusion Statement

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