Data Governance Strategist
hace 4 semanas
At PayRetailers, we are committed to delivering cutting-edge solutions that empower businesses to thrive in Latin America and Africa. Our collaborative and inclusive work environment fosters creativity and growth, where every employee's contribution is valued. We are seeking a highly skilled Chief Data Officer to join our team and drive our data strategy forward.
About the Role:
The Chief Data Officer will be responsible for creating and overseeing the company's data strategy, ensuring data governance, and optimizing data-driven decision-making processes. This includes developing and implementing data management systems, policies, and initiatives to enhance the organization's capabilities in data analytics, data integration, and data security.
Key Responsibilities:
• Develop and execute a comprehensive data strategy aligned with the company's business goals.
• Establish data governance frameworks, policies, and standards to ensure data quality, consistency, and security.
• Champion the use of data as a strategic asset to drive business insights and decision-making.
• Oversee the design and implementation of data infrastructure and architecture to support analytics and reporting needs.
• Ensure effective data integration and data lifecycle management across various platforms and systems.
• Lead initiatives to modernize data platforms and adopt new technologies for data storage, processing, and analytics.
Data Analytics & Insights:
• Drive the development of advanced analytics capabilities, including predictive analytics, machine learning, and artificial intelligence.
• Collaborate with business units to identify opportunities for data-driven innovation and optimization.
• Provide strategic insights and recommendations based on data analysis to support business strategies and objectives.
• Lead and mentor a team of data professionals, including data scientists, data engineers, and data analysts.
• Foster a culture of data-driven decision-making and continuous learning within the organization.
• Promote cross-functional collaboration and knowledge sharing to enhance data literacy across the company.
Compliance & Risk Management:
• Ensure compliance with data protection regulations and industry standards (e.g., GDPR, CCPA).
• Identify and mitigate risks associated with data management and data privacy.
• Develop and implement data security policies and protocols to protect sensitive information.
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