Strategic Data Governance Lead

Goods & Services; Colombia; Híbrido; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading product design and engineering firm in Mexico is seeking a Lead Data Governance Specialist to implement data governance policies ensuring data quality and compliance. The ideal candidate will have over 5 years of experience in data governance and a strong understanding of compliance standards. This role involves monitoring data accuracy, collaborating with teams to resolve data issues, and providing training to promote a data-driven culture. Strong project management and communication skills essential. Comprehensive knowledge of data governance tools is preferred.

Formación

• 5+ years of experience in data governance or related roles.
• Proven expertise in implementing data governance frameworks.
• Strong understanding of compliance standards and regulations.

Responsabilidades

• Design and implement data governance policies to meet organizational goals.
• Develop mechanisms to ensure data accuracy and reliability.
• Provide training programs to foster data literacy.

Conocimientos

Data governance frameworks

Data quality management

Stakeholder communication

Project management

Analytical skills

Educación

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management

Herramientas

Data governance tools (e.g., Collibra, Alation)

Data visualization platforms

Descripción del empleo

A leading product design and engineering firm in Mexico is seeking a Lead Data Governance Specialist to implement data governance policies ensuring data quality and compliance. The ideal candidate will have over 5 years of experience in data governance and a strong understanding of compliance standards. This role involves monitoring data accuracy, collaborating with teams to resolve data issues, and providing training to promote a data-driven culture. Strong project management and communication skills essential. Comprehensive knowledge of data governance tools is preferred.