Design and create a data platform
and manage data-related operations.
Design and create data pipelines to capture,
transform, store and consume actionable
data and insights.
Make viable a data-driven decision-making culture
across the organization to meet those goals and increase access to other valuable types of data.
Implement artificial intelligence solutions
in support and business processes
to improve profitability and efficiency.
Create an enterprise-wide data and analytics
(D&A) strategy aligned with the needs
of business and company goal.
Create and implement a data governance strategy and implement data management tools to guarantee data quality and (in partner with the CISO) strength security controls for personal or sensitive data.
Definición de la visión y misión del dato en la organización, definición del roadmap de iniciativas de D&A y estimación del impacto en negocio.
Definición, despliegue y socialización de nuevas metodologías y formas de trabajo (CRISP-DM, ML-Ops, LLM-Ops, Data Ops, etc.), relacionadas con el tratamiento y uso del dato en la organización.
