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Hace 1 mes
Chief Data and Analytics Officer
Si el reclutador te contacta podrás conocer el sueldo
Sobre el empleo
Detalles
Contratación:
PermanenteHorario:
Tiempo completoEspacio de trabajo:
HíbridoBeneficios
Descripción
Empresa Multinacional está en búsqueda de un "Chief Data and Analytics Officer"
Inglés Fluido
Es hibrido en Monterrey
100% nómina + prestaciones superiores
Se busca a un gerente no solo con experiencia en Analytics operativamente sino que tenga esperiencia en la estrategia para implementar y promover el uso de analyics en la empresa
The Chief Data and Analytics Officer (CDAO) is a leader responsible for leveraging the organization's data and analytics (D&A) assets to drive business value and achieve measurable outcomes. The CDAO's primary purpose is to ensure the organization utilizes its data strategically to inform decisions, enhance business operations, and foster innovation. This role involves establishing and executing a comprehensive data strategy, leading the D&A function, overseeing the development and implementation of data governance frameworks, and fostering a data-driven culture throughout the organization.
Responsibilities
• Data and Analytics Strategy Development: The CDAO defines the organization's data and analytics strategy, aligning it with business objectives. This involves working with senior leadership to ensure data supports mission-critical goals and drives business success. Set a clear vision for how data can drive business outcomes and create a roadmap for achieving this vision
• AI and Advanced Analytics: Lead the development and application of advanced analytics, including predictive modeling, machine learning, and artificial intelligence, to extract actionable insights. Leading the adoption of AI and machine learning technologies, to oversee data science initiatives like predictive and prescriptive analytics. These efforts enhance decision-making and automated processes, driving innovation and efficiency. Oversee the creation and maintenance of business intelligence tools and dashboards that provide real-time data insights to stakeholders.
• Data Management, Governance, and Architecture: The CDAO establishes data governance frameworks to ensure data quality, security, privacy, and compliance. This includes creating governance structures, setting data standards, managing data stewardship practices, and defining the data architecture to ensure data is collected, stored, and processed efficiently.
• Operational Model and Talent Development: Developing an operational model for data and analytics, the CDAO fosters collaboration and builds competency within the organization. Build and lead a high-performing data and analytics team. Leading efforts to enhance data literacy and develop D&A talent is also a key focus.
• Stakeholder Engagement and Value Creation: Work closely with other C-suite executives and department leaders to understand their data needs and ensure data initiatives support overall business objectives. Build partnerships with executive leadership to advocate for data as a strategic asset. Identify opportunities to monetize data, engage stakeholders, and ensure D&A initiatives drive measurable business outcomes.
• Culture of Data: Promote a culture of data-driven decision-making throughout the organization by providing training and resources.
• Innovation and Emerging Technologies: Staying updated on emerging trends, the CDAO leads R&D efforts to explore new data sources and technologies. This fosters a culture of innovation, keeping the organization at the forefront of data and analytics advancements.
• Performance Measurement and Improvement: The CDAO tracks the impact of D&A initiatives on business outcomes and KPIs, continuously assessing and improving data maturity. This ensures that data efforts effectively contribute to the organization's success and growth, conducting ROI analysis for data projects to ensure they deliver value to the organization.
• Support for IT in Digital Transformation: The CDAO collaborates with the IT department to support digital transformation initiatives. This includes integrating data strategies with IT projects to enhance digital capabilities and drive technological advancements across the organization.
• Risk Compliance and Mitigation: Ensure data practices comply with relevant laws and regulations, including data protection and privacy laws. Identify and mitigate risks associated with data management and analytics.
ID: 18931822