Position Title: Head of Data Insights and Analytics
The Head of Data & Analytics is the primary strategic advisor to the Managing Director and their executive team on all data-related matters within the large affiliate. This role involves leading business discussions, setting a comprehensive vision and strategy for data and analytics (D&A) within the market, and leading a large, diverse analytics team. The role ensures mastery and optimization of the complex local data value chain from acquisition, storage, curation, advanced analytics, to embedding insights into critical business processes.
- Developing and implementing a comprehensive and scalable D&A strategy aligned with business goals and global D&A initiatives. Setting a visionary approach for data and analytics within the market.
- Leading, mentoring, and inspiring a large and diverse team of data professionals across multiple functions. Fostering a culture of innovation, collaboration, and excellence.
- Serving as a key actor for the executive leadership team. Driving business transformation through data-driven insights.
- Managing relationships with senior stakeholders, demonstrating exceptional negotiation and influence skills. Articulating complex data insights effectively to non-technical executive stakeholders.
- Overseeing the entire and complex data value chain from acquisition to embedding advanced insights within the market. Ensuring data quality, security, and compliance through robust and comprehensive data governance frameworks.
- Overseeing multiple complex data projects and programs, ensuring timely, within-budget, and high-quality delivery. Leveraging advanced analytics, machine learning, and AI to derive actionable insights. Driving the integration of insights into business processes to facilitate data-driven decision-making at all levels.
- Maintaining an expert understanding of advanced data technologies, big data platforms, databases, and analytics tools. Leading the adoption of cutting-edge technologies and staying ahead of industry trends.
- Championing the ethical use of data, ensuring compliance with privacy laws and regulations, and mitigating data-related risks.