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
1. Data Architecture & Platform Build
- Design and implement up-to-date 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

2. 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

3. 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

4. Data Governance & Quality
- Establish data governance framework (catalog, lineage, ownership)
- Ensure data quality, consistency, and compliance
- Implement master data management (MDM) practices

5. 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
- Strong experience in Data Platforms (e.G., Snowflake, Databri

📌 Lead Data Architect (Delhi Division)
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