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.