AI Metrics & Dashboards Specialist

Corning Inc.; México; A distancia; MXN 420.000 - 640.000; Jornada completa

Descripción de la vacante

Corning Inc. in Mexico is seeking a Metrics Data Specialist to define, manage, and advance the measurement strategy for the AI Enablement department.

This role provides the data foundation that allows leaders to monitor adoption, business impact, operational performance, and opportunities for continuous improvement across AI initiatives. You will build KPIs, dashboards, and reporting, collaborate with the metrics lead, and translate data into actionable insights for executive audiences.

Formación

• 3–5+ years of analytics, performance measurement, reporting, or business intelligence.
• Experience building KPIs, dashboards, or management reporting for cross-functional initiatives.
• Strong ability to synthesize data into actionable business insights.
• Proficiency with data analysis and reporting tools such as Power BI and Databricks.
• Strong written and verbal communication skills.

Responsabilidades

• Define and maintain a department-wide metrics framework for AI Enablement priorities.
• Establish key performance indicators, reporting standards, and data definitions aligned to business and functional objectives.
• Establish data validation frameworks and methods to ensure data integrity.
• Develop recurring dashboards, scorecards, and reporting mechanisms for leadership and stakeholder review.
• Analyze trends, risks, gaps, and opportunities to support decision-making and prioritization.
• Translate data into clear insights and recommendations for executive and cross-functional audiences.

Conocimientos

Analytics

KPI development

Dashboard development

Power BI

Databricks

Communication

Herramientas

Power BI

Databricks

Descripción del empleo

Corning Inc. in Mexico is seeking a Metrics Data Specialist to define, manage, and advance the measurement strategy for the AI Enablement department.

This role provides the data foundation that allows leaders to monitor adoption, business impact, operational performance, and opportunities for continuous improvement across AI initiatives. You will build KPIs, dashboards, and reporting, collaborate with the metrics lead, and translate data into actionable insights for executive audiences.