Head of Analytics, you will lead and oversee the development, implementation, and management of our organization's analytics, enterprise data, and AI platform strategies. You will play a critical role in driving the transformation of data into actionable insights, fostering a data-driven culture, and enabling advanced AI capabilities across the organization.
- Develop and execute comprehensive analytics, enterprise data, and AI platform strategy aligned with the organization's goals and objectives.
- Drive the adoption of analytics and AI technologies, ensuring they are integrated into the business processes to drive value creation and operational excellence.
- Develop and implement strategies and processes for the collection, storage, integration, and governance of enterprise data.
- Define and implement data architecture standards and best practices to support the organization's data-driven objectives.
- Identify and evaluate AI platforms, tools, and technologies to establish an efficient and scalable AI infrastructure.
- Design and implement the AI platform strategy, including data ingestion, model development, deployment, and monitoring.
- Oversee the development of analytical models, algorithms, and visualizations to extract insights and support decision-making.
- Continuously monitor industry trends, emerging technologies, and best practices in analytics, enterprise data, and AI platforms.
Qualification
- A master's or doctoral degree in a relevant field such as data science, computer science, or a related discipline
- Proven experience (10+ years) in data analytics, enterprise data management, AI platforms, or a similar leadership role.
- Deep understanding of data management principles, data governance, and data architecture.
- Strong knowledge of AI and machine learning concepts, algorithms, and platforms.
- Experience in implementing and managing AI platforms, such as cloud-based solutions or on-premises infrastructure.
- Excellent leadership and people management skills, with a track record of building and leading high-performing teams.
- Strong communication and stakeholder management abilities, with the capacity to translate technical concepts into business-oriented insights.
- Strong business acumen and strategic mindset, with the ability to align analytics, data, and AI platform strategies with organizational objectives.
