Data Science / AI Lead

Job_Description":"

The DSAI Lead is responsible for driving business impact through the strategic delivery of Data Science and AI (DSAI) projects. This role leads a multidisciplinary team and works closely with Product Management, IT, Climate, Risk, GIS and Business teams to ensure the successful implementation of data-driven solutions. The incumbent ensures that the DSAI operating model functions effectively and evolves to meet organizational needs.

Key Responsibilities:

• Project Leadership & Delivery
  
  • Leads the end-to-end lifecycle of DSAI solutions, including design, planning, development, testing, deployment, and value realization.
    
  • Oversees data collection, exploratory data analysis (EDA), model development, evaluation, and deployment.
    
  • Collaborates with data leadership to track project progress and ensure alignment with business objectives.
    
  • Cross-functional Collaboration
    
    • Partners with Product Managers and the PMO to align project goals and execution.
      
    • Coordinates with IT teams for infrastructure provisioning, deployment, and support.
      
    • Works closely with Climate, Risk, GIS and Business teams to integrate domain expertise into DSAI solutions.
      
    • Domain Expertise
      
      • Applies experience in peril modelling for perils such as floods, inundation, cyclones, hailstorms, etc including supported perils.
        
      • Ensures scientific accuracy and relevance in modelling approaches.
        
      • Operational Excellence
        
        • Maintains and enhances the DSAI operating model to improve efficiency and productivity.
          
        • Recommends and implements best practices, tools, and frameworks for solution development.
          
        • Team Management
          
          • Manages the teams skill matrix and develops a structured learning calendar.
            
          • Oversees performance management processes including goal-setting, mid-year reviews, and annual evaluations.
            
          • Fosters a culture of innovation, accountability, and continuous improvement.
            
            
            
            Requirements

            Qualifications / Skills / Experience:
            

            • Demonstrated experience in leading data science and AI teams.
              
            • Strong foundation in statistical modelling, machine learning, and AI deployment.
              
            • Experience in peril modelling, climate risk, insurance and geospatial analytics.
              
            • Excellent stakeholder management and cross-functional collaboration skills.
              
            • Proficiency with modern data science tools, Azure cloud platform, and deployment frameworks.
              
            • Minimum 7-8 years in data science/AI roles, with at least 2-3 years in a lead position.
              
            • Familiarity with agile project management and enterprise IT environments.
              
            • Strong leadership, communication, and mentoring abilities.
              
              
              
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