Data & ai delivery head @chennai / 90l (includes variable) / should have started career with data techst

Note : Currently Should be working in the Retail / Ecommerce domain

Role :

The ideal candidate will have progressed from a data techstack / data engineering background into an architect role (Snowflake, Databricks) and now drives end‑to‑end delivery leadership. This role requires strong expertise in pricing and product catalogue platforms, combined with proven ability to manage delivery teams and client outcomes.

He / She will be leading and manage a 20‑member delivery team across data engineering, AI / ML, and analytics.

Own program delivery for Data & AI initiatives, ensuring quality, timelines, and measurable business impact.

Apply deep knowledge of Snowflake, Databricks to guide architecture and solution design.

Drive AI / ML use cases in retail / e‑commerce, including personalization, pricing optimization, and catalogue management.

Ensure robust data pipelines and scalable architectures for high‑volume retail platforms.

Partner with senior stakeholders to align delivery outcomes with business priorities.

As K :

18+ years of total experience.

• Progressed from datawarehousing / big data engineering into architect roles (Snowflake, Databricks) and now drives end‑to‑end delivery leadership.
• Owns architecture and solution design for pricing and product catalogue platforms (NOT mandatory), ensuring scalable, high‑volume data pipelines.
• Applies deep expertise in Snowflake, Databricks, and modern cloud data ecosystems to enable robust data engineering and AI / ML integration.
• Champions data governance, lineage, and quality frameworks to ensure accuracy and trust in retail decisioning.
• Drives applied AI / ML use cases such as personalization, dynamic pricing, recommendation engines, and catalogue enrichment.

Currently working with Retail / e‑commerce orgs