Manager, Advanced Analytics and AI

Job Purpose

We are seeking a highly motivated and experienced Data Analytics Manager who can leverage Artificial Intelligence (AI) and data-driven insights to enhance workplace safety and operational efficiency across the organization. The incumbent will be responsible for overseeing the development and implementation of AI-integrated analytics strategies to optimize safety processes, identify potential risks, and drive continuous improvement initiatives.

Responsibilities

The duties and responsibilities are listed below. The list is not exhaustive and related duties and responsibilities may be assigned from time to time. 

• Design, develop, and deploy advanced AI models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams to define data requirements and develop leading indicators to execute a comprehensive data strategy aligned with safety objectives.
• Lead the analysis of safety-related data sets to identify trends, patterns, and potential safety risks.
• Identify opportunities for leveraging AI technologies to enhance data analytics capabilities, extract actionable insights, and enhance workplace safety and security.
• Conduct data mining, statistical analysis, and predictive modeling to extract valuable insights from large data sets.
• Develop and maintain scalable data pipelines to support AI/ML model deployment.
• Ensure seamless integration of AI algorithms with data analytics platforms and tools.
• Collect, preprocess, and analyze data to train and evaluate AI models.
• Optimize AI models for performance, scalability, and efficiency.
• Develop AI models to uncover patterns, trends, and correlations in data, enabling predictive and prescriptive analytics to forecast safety incidents and proactively mitigate risks.
• Develop dashboards to communicate key performance indicators to stakeholders.
   

Qualifications & Work Experience

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience in data analytics, with a focus on AI integration and machine learning.
• Experienced with data preprocessing, feature engineering, and model evaluation.

Skills

• Good understanding of data analytics methodologies and AI algorithms.
• Conduct data mining, statistical analysis, and predictive modeling to extract valuable insights from large data sets.
• Develop and maintain scalable data pipelines to support AI/ML model deployment.
• Excellent communication and interpersonal skills, with the ability to convey complex data insights to non-technical stakeholders.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Ability to work in a collaborative and fast-paced environment.
• Experience in fine-tuning Generative AI models or AI video analytics is a plus.