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Chief Architect of Data

2 weeks ago


Bengaluru, Karnataka, India beBeeDirector Full time ₹ 20,00,000 - ₹ 25,00,000

Senior Director of Engineering – Data Strategy

">Job Summary:
We are seeking a visionary Senior Director to lead our data platform and AI roadmap, driving strategic growth through scalable infrastructure, productized AI capabilities, and empowered teams with data insights.
Key Responsibilities:
Define and execute the strategy for our next-generation enterprise data platform to support reporting, analytics, and ML use cases.
Own end-to-end data engineering: real-time pipelines, data lakes, transformation workflows (ClickHouse, Spark, Kafka, Airflow).
Improve observability, quality, and governance of customer data at scale across tenants and domains.
Lead the development of ML/AI features in our products – e.g., lead scoring, predictive workflows, agent assist, and generative AI features. Ensure responsible, explainable, and secure use of AI aligned with regulatory and ethical standards.
Partner with business and product teams to deliver dashboards, insights, and self-serve data capabilities. Build and lead a cross-functional team of data engineers, ML engineers, and analysts. Collaborate with engineering to embed data capabilities into the core platform architecture. Evangelize a data-driven culture across our organization — from leadership to product teams to customer-facing roles.
Requirements:
Proven experience leading data platforms and AI productization in a B2B SaaS environment. Strong understanding of multi-tenant SaaS, customer engagement data, and large-scale analytics systems. Deep expertise in data architecture, streaming systems, warehousing, and AI/ML lifecycle management. Experience with modern data stack: ClickHouse (preferred), Snowflake/BigQuery, dbt, Kafka, Python, Spark, Airflow, etc. Experience with AI in CRM or sales automation platforms (e.g., lead intelligence, conversation insights). Exposure to personalization engines, customer data platforms (CDP), or predictive customer engagement. Minimum 12 years of experience in data/AI roles with at least 5 years in senior leadership.