JOB DESCRIPTION
Role Title
Lead – Data Architecture & AI
Role Summary
The role is responsible for owning and driving the enterprise data & AI strategy, designing and implementing scalable data architecture (data lake, data warehouse, pipelines), and leading the adoption of Analytics, ML, and GenAI to unlock business value. The role will also act as a bridge between business, IT, and advanced analytics teams.
Key Responsibilities
Data Architecture & Platform Build
Design and implement contemporary data architecture (Data Lake, Data Warehouse, Lakehouse)
Define data models, standards, governance, and security frameworks
Build scalable data pipelines (batch + real-time ingestion)
Ensure high availability, performance, and cost optimization of data platforms
Analytics & Visualization
Enable self-service analytics and reporting platforms
Lead implementation of BI tools and dashboards
Partner with business teams to define KPIs, metrics, and insights frameworks
Drive adoption of data-driven decision making
AI / ML / GenAI Initiatives




Identify and deliver high-impact AI/ML use cases (forecasting, recommendations, optimization)
Lead development and deployment of machine learning models
Drive adoption of Generative AI use cases (automation, copilots, knowledge assistants)
Ensure responsible AI practices including model governance and explainability
Data Governance & Quality
Establish data governance framework (catalog, lineage, ownership)
Ensure data quality, consistency, and compliance
Implement master data management (MDM) practices
Stakeholder & Program Leadership
Work closely with business leaders to translate requirements into data solutions
Lead cross-functional teams (data engineers, analysts, data scientists)
Manage vendors, partners, and external technology providers
Drive roadmap execution aligned to business priorities

Key Skills & Expertise
Technical
Robust experience in Data Platforms (e.g., Snowflake, Databri

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