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 modern 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, Databricks, Azure/AWS data stack)
- Expertise in ETL/ELT tools, data pipelines, and data modeling
- Hands-on with BI tools (Power BI, Tableau, etc.)
- Experience in ML frameworks (Python, TensorFlow, PyTorch, etc.)
- Exposure to GenAI / LLM ecosystems

Functional

- Solid understanding of analytics use cases across sales, marketing, supply chain, finance
- Ability to translate business problems into data & AI solutions

Leadership

- Experience in leading data & AI teams or large programs
- Strong stakeholder management and communication skills
- Ability to operate in both strategic and hands-on roles

Experience & Qualifications

- 8–10 years of experience in data engineering, analytics, or AI/ML
- Bachelor’s/Master’s in Engineering, Computer Science, Data Science, or related field
- Experience in building enterprise-scale data platforms
- Prior experience in AI/ML or GenAI initiatives is preferred

📌 Lead Data Architect (Delhi)
🏢 Kajaria Ceramics
📍 Delhi