
Leading AI Innovation Specialist
6 days ago
We are seeking an innovative professional to lead the implementation of artificial intelligence in our marketing department.
The role involves developing and deploying intelligent tools, optimizing marketing strategies, and enhancing performance through AI integration.
- Bachelor's or master's degree in Artificial Intelligence, Computer Science, or a related field.
- Proven experience (minimum 3 to 5 years) in implementing AI in marketing or business environments.
- Strong expertise in AI-related coding (e.g., Python, R, Tensor Flow, PyTorch, Scikit-learn, etc.).
- Experience in natural language processing, machine learning, and marketing automation tools.
- Excellent analytical thinking, problem-solving, and project management skills.
- Strong communication and collaboration abilities.
- Prior experience in a university or educational marketing setting.
- Familiarity with CRM systems, social listening tools, and digital marketing platforms.
- Knowledge of data privacy and ethical AI considerations.
- AI Integration in Marketing: Identify processes where AI can add measurable value.
- Develop and implement AI models to automate and optimize campaign targeting, customer segmentation, and performance analysis.
- Introduce AI-based tools for content personalization, trend forecasting, and consumer behavior analysis.
- Tool and Platform Development: Design, build, and maintain AI-powered platforms and tools tailored for the marketing team.
- Collaborate with IT and software teams to integrate AI tools into existing marketing systems.
- Monitor and improve existing AI systems based on performance data and feedback.
- Strategic Planning: Lead the development of data-driven AI marketing strategies.
- Provide insights and recommendations for digital advertising, social media engagement, and brand optimization through AI analytics.
- Collaborate with stakeholders to ensure strategic alignment and innovation adoption.
- Performance Enhancement: Use AI to analyze key performance indicators (KPIs) and propose improvement plans.
- Enable real-time campaign adjustments using predictive analytics and machine learning.
- Continuously evaluate the impact of AI initiatives and suggest enhancements.
- Team Collaboration and Training: Train and guide the marketing team on AI tools and applications.
- Act as a bridge between marketing, data science, and development teams to ensure smooth execution.
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