Manager AI Automation and Integration

Riphah International University is seeking a highly skilled and innovative Manager – Artificial Intelligence to lead the implementation of AI-driven solutions in the Marketing Department. The role involves developing and deploying intelligent tools, optimizing marketing strategies, and enhancing departmental performance through AI integration.

Job Requirements:

• 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.

Preferred Skills

• 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.

Job Responsibilities:

• AI Integration in Marketing: Identify marketing 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.