Job title:  (CEN) SPECIALIST QUALITY & MASTER DATA

Job Description The role is responsible for governing Production area business entities, master data, KPIs and shared data assets. The role ensures consistent definitions, data quality, traceability and alignment across enterprise data platforms, semantic models and analytics solutions. Working with business, Smart Operations and technical teams, the position enables trusted data products that support reporting, analytics, AI-driven solutions and data-driven decision making across production processes. Main Resposibilities Lead the governance and evolution of Production business entities, master data, KPIs and shared data assets, ensuring consistent definitions, ownership, traceability and business alignment. Drive data quality, compliance and continuous improvement by identifying risks, defining remediation strategies and monitoring governance outcomes. Lead data enablement for Smart Operations initiatives, providing guidance on data foundations, analytics capabilities, AI-driven solutions, semantic models and operational intelligence. Oversee data documentation, metadata, business glossaries, data dictionaries and catalog content to ensure transparency, reuse and enterprise consistency. Provide guidance on KPI governance to ensure definitions, calculation logic, reporting outputs and performance metrics remain aligned with operational objectives and enterprise standards. Influence business stakeholders, product owners and technical teams to prioritize initiatives, manage dependencies and deliver production data and analytics capabilities. Champion data governance standards, data literacy and responsible data-driven decision making across production and Smart Operations teams. Position Challenges / Competencies: Drive alignment across business and technical stakeholders in complex, cross-functional environments. Provide strategic guidance on Production data, KPIs, governance and analytics capabilities. Balance business value, governance requirements and technology constraints to enable sustainable data solutions. Identify opportunities to improve operational performance through data, analytics and AI. Lead adoption of data governance and data-driven decision making practices. Position Requirements Education Bachelor’s degree in Engineering, Information Technology, Computer Science, Analytics, Industrial Engineering or related fields. Master's degree or specialization in Data, Analytics, Operations or Digital Transformation is preferred. Professional Experience Significant experience in data governance, data management, KPI governance, analytics enablement and enterprise data platforms. Experience with Production, Manufacturing, Operations or similar operational environments. Ability to lead cross-functional initiatives, influence stakeholders and translate business needs into scalable data and analytics solutions. Functional & Technical Expertise Data governance, master data, data quality, KPI governance and performance management. Business entity definition, data modeling, semantic models, metadata management and information architecture. Operational analytics, self-service data, data catalogs and governance frameworks. Advanced SQL, Snowflake, Microsoft Fabric and Power BI. Understanding of APIs, integrations and enterprise data ecosystems. Knowledge of near real-time information flows generated by IoT devices, sensors and operational systems, including their integration into enterprise data platforms for analytics and decision making. Leadership & Advisory Skills Strategic and systems thinking. Executive stakeholder management, communication and facilitation skills. Leadership without direct authority, problem solving and critical thinking. Ability to drive adoption and change in complex, global environments. Internal & External Relations INTERNAL Production Area Stakeholders and Analytics Teams Data Architecture | Management | Engineering and DBA Teams Global KPI and OCV Stakeholders Business Product Owners EXTERNAL Technology, platform and implementation partners supporting data, analytics and Smart Operations initiatives. Platform providers such as Snowflake, Microsoft Fabric and related ecosystems. Strategic suppliers and consulting partners supporting data and digital transformation projects. 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.