Production Data & KPI Governance Lead

Cemex; Monterrey; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

CEMEX is seeking a data governance leader to oversee Production data entities, KPIs and shared data assets across enterprise platforms. You will guide data foundations, semantic models and operational intelligence, ensuring trust and alignment with business goals.

The role requires leadership across business and tech teams, risk-aware remediation strategies, and a focus on data literacy and governance practices to sustain data-driven decision making in production environments.

Formación

• Bachelor’s or higher in Engineering, IT, or analytics related fields.
• Master’s preferred in Data, Analytics, Operations or Digital Transformation.
• Proven experience in data governance and KPI governance.
• Experience with production environments and enterprise data platforms.

Responsabilidades

• Lead governance of Production data entities, KPIs and shared data assets.
• Drive data quality, compliance and remediation strategies.
• Oversee data documentation, glossaries and catalogs for transparency.
• Guide data enablesment for Smart Operations and AI-driven solutions.
• Ensure definitions and calculation logic align with objectives.
• Influence stakeholders to prioritize data and analytics initiatives.
• Champion data governance standards and data literacy.

Conocimientos

Data governance

KPI governance

Data quality

Analytics enablement

Operational analytics

SQL

Educación

Bachelor's degree in Engineering or IT

Master's degree in Data/Analytics preferred

Herramientas

Snowflake

Microsoft Fabric

Power BI

Descripción del empleo

CEMEX is seeking a data governance leader to oversee Production data entities, KPIs and shared data assets across enterprise platforms. You will guide data foundations, semantic models and operational intelligence, ensuring trust and alignment with business goals.

The role requires leadership across business and tech teams, risk-aware remediation strategies, and a focus on data literacy and governance practices to sustain data-driven decision making in production environments.