Chief of Data Visualization Strategy Offline

Job Description:

We are seeking a Senior Chief of Data Visualization Strategy to join our team and enhance our IT tools by incorporating AI-powered solutions. This role requires expertise in data visualization, AI/ML applications, and automation techniques to optimize data-driven insights. This individual possesses advanced expertise in designated visualization techniques for highly complex datasets, which require sophisticated next generation visualization tools. Furthermore, whenever possible, enhancements to these visualizations should be supported and optimized through various AI Copilots specifically designed for this purpose.

We are seeking ambitious individuals capable of connecting their 2D, 3D, 4D and 5D visualizations with AI Copilots for highly sophisticated co-integration of IT products with advanced visualisation techniques, eager to create fundamental breakthroughs and best-in-class innovation in advanced visualization, and in the co-integration of advanced visualization tools and modalities with equally sophisticated AI and IT products and projects.

Key Responsibilities:

1. Implement and Maintain Agenda for Advanced Visualisation Systems
2. Develop and integrate AI-driven enhancements into data visualization tools 
3. Optimize workflows by automating data processing, transformation, and visualization tasks using AI techniques.
4. Collaborate with developers and data teams to enhance the usability and interactivity of data visualization platforms.
5. Ensure scalability and efficiency of AI-powered solutions across different visualization tools 
6. Stay up to date with the latest AI/ML advancements and assess their applicability to data visualization.
7. Provide technical documentation and training for teams on AI-integrated visualization solutions.

Requirements:

1. You should have innovative ideas, leveraging AI-driven methods, that can enhance data visualization beyond the capabilities of our current internal IT tools. We are looking for creative suggestions that utilize AI techniques to propose new ways of implementing and visualizing datasets, offering alternative and more effective solutions than what our existing tools provide. You should have creative thinking.
2. Strong experience in 3D modelling and visualization 
3. Strong knowledge of AI/ML techniques and their application in data analytics and visualization.
4. Experience with data visualization tools such as Databox, Infranodus, D3.js, Matplotlib, Plotly, or similar.
5. Hands-on experience with machine learning libraries and data processing frameworks.
6. Familiarity with data engineering, ETL pipelines, and cloud-based AI solutions (Azure).
7. Strong analytical and problem-solving skills with the ability to work with complex datasets.

8. Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders.

    

Preferred Qualifications:

1. Experience with NLP, computer vision, or generative AI models for data visualization enhancements.
2. Knowledge of big data technologies (Spark, Hadoop) and real-time analytics frameworks.
3. Background in UX/UI design for data visualization interfaces.