DATA STEWARD
Descripción de la oferta de empleo
esponsabilities.
erve as a liaison with multiple data and business teams/departments for issues related to the planning and analysis of deliverables and processes of projects associated with data governance.
efine the ownership and responsibility of critical data assets to ensure they are managed effectively and maintain integrity at all times.
erform analysis and execute tasks independently that contribute to workflows focusing on a wide range of data initiatives, including data requirements, issue management, understanding data quality issues, lineage, data governance, and taxonomy.
xamine and evaluate the status of the assigned project, including identifying risks, accesses, documentation, and potential issues that need to be escalated or changed, and propose solutions to project leaders.
nsure compliance with policies and guidelines related to the documentation of data dictionaries, data flows, involved applications, consumers, as well as ongoing actions for quality improvement, security, use, and data lifecycle.
ocument and collaborate in the development of policies, procedures, and data standards for the data governance of Digital@FEMSA, collaborating with the SRE, Data Architecture, and Security teams to democratize data and implement a \"Business Data Driven\" culture.
ead topics related to Data Governance, standards, policies, processes, etc., from definition to execution, establishing compliance metrics that help with the continuous improvement of Data Governance.
efine, maintain, and implement practices and artifacts that allow keeping the data dictionary, data glossary, data lineage, and metadata of the organization up to date.
efine, in conjunction with the business, frameworks and/or ways of work that align and optimize data processes.
afeguard data documentation on policies, rules, and standards.
upport project problem-solving by offering solutions to complex issues and interpreting and advising on data governance policies, guidelines, or processes.
ptimize workflows and interactions that promote good communication between departments, eliminating data silos, encouraging data sharing so that ingestion and analysis are not done in isolation.
upervise and comply with data security and protection guidelines to detect potential risks and ensure data usage complies with established regulations.
nsure the masking of personal data in development, quality, and production environments.
ontrol data from ingestion to avoid risks in the various datalake environments, detect potential risks, and ensure data usage complies with established regulations
Detalles de la oferta
- Sin especificar
- 29/12/2024
- 29/03/2025
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