Data Science / AI Lead

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 team’s 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.