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.
Solid
foun

📌 Data Science Hyderabad (India)
🏢 Kshema
📍 India