Implement, lead, and maintain data governance with Digital@FEMSA to ensure a Business Data-Driven culture and way of working, where reliable, consistent, integral, accurate, and timely data are enabled, ensuring appropriate access for each of our internal and external customers in a secure manner, complying with necessary laws and regulations.

Responsabilities:

  • Serve 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.
  • Define the ownership and responsibility of critical data assets to ensure they are managed effectively and maintain integrity at all times.
  • Perform 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.
  • Examine 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.
  • Ensure 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.
  • Document 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.
  • Lead 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.
  • Define, maintain, and implement practices and artifacts that allow keeping the data dictionary, data glossary, data lineage, and metadata of the organization up to date.
  • Define, in conjunction with the business, frameworks and/or ways of work that align and optimize data processes.
  • Safeguard data documentation on policies, rules, and standards.
  • Support project problem-solving by offering solutions to complex issues and interpreting and advising on data governance policies, guidelines, or processes.
  • Optimize 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.
  • Supervise and comply with data security and protection guidelines to detect potential risks and ensure data usage complies with established regulations.
  • Ensure the masking of personal data in development, quality, and production environments.
  • Control data from ingestion to avoid risks in the various datalake environments, detect potential risks, and ensure data usage complies with established regulations.
  • Automate and implement controls at the various stages of the data lifecycle to plan correction and improvement procedures to increase data quality.
  • Lead access audits on data platform tools.
  • Ensure the implementation and operation of the metadata management tool according to the organization’s needs.
  • Ability to resolve difficult situations and/or decisions and drive consensus through a diplomatic approach.
  • Ability to lead various stakeholders on the benefits of Data Governance.
  • Act as a mentor in resolving Data Governance issues with peers

Knowledge and Experience:

  • Master Data Management (Experience +5 years)
  • Experience leading data teams directly or indirectly (Experience +3 years)
  • Data Quality Management (Experience +2 years)
  • Data Privacy & Compliance
  • Knowledge of databases, terms, and methodology related to enabling and promoting the functionality, integrity, and fitness of data for its purpose. This includes knowledge of SQL and SQL scripting.
  • Strong communication skills/ability to persuade/influence others at all levels of the organization and the ability to foster lasting partnerships.
  • Ability to translate business requirements into critical data dependencies and requirements.
  • Ability to think beyond the current state (processes, roles, and tools) and work towards an optimized and unconstrained design.
  • Ability to escalate difficult situations and/or decisions.
  • Database & Data Warehouse Design
  • DAMA or TDWI Data Governance Methodology (Desirable)
  • Understanding of business processes
  • Automation of Policies and Controls
  • Effective communication
  • Resilience
  • Analytical thinking
  • Agility
  • Time management
  • Proactivity
Digital FEMSA está comprometida con un lugar de trabajo diverso e inclusivo. 
Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida. 
Si desea solicitar una adaptación, notifique a su Reclutador.

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