Senior AI & Data Analytics Manager / Lead
Location: Netaji Subhash Place (NSP), Pitampura, Delhi
Experience: 5+ Years
Employment Type: Full-Time
Joining: Immediate Joiners Preferred
Job Summary
We are looking for an experienced Senior AI & Data Analytics Professional to lead our AI, data analytics, cloud, and digital transformation initiatives. The ideal candidate should have strong expertise in Artificial Intelligence, Machine Learning, Data Engineering, Cloud Technologies, Business Intelligence, and Enterprise Data Architecture. The candidate will drive data-driven decision-making and implement AI-powered solutions across the organization.
Key Responsibilities
- Lead AI, Machine Learning, and Data Analytics initiatives.
- Design and implement enterprise data strategy and governance.
- Build predictive, prescriptive, and descriptive analytics models.
- Develop AI-powered automation solutions using Generative AI and LLMs.
- Design cloud-based data platforms and modern data warehouses.
- Build ETL/ELT pipelines and optimize data architecture.
- Develop dashboards and executive reports using Power BI/Tableau.
- Manage structured and unstructured data from multiple sources.
- Implement data quality, security, and governance frameworks.
- Collaborate with business stakeholders to identify AI use cases.
- Lead a team of Data Engineers, Data Analysts, and AI Engineers.
- Drive digital transformation initiatives across departments.
- Ensure compliance with data privacy and cybersecurity standards.
Required SkillsArtificial Intelligence
- Generative AI
- ChatGPT / OpenAI APIs
- Machine Learning
- Deep Learning
- NLP
- Computer Vision
- Prompt Engineering
- LLM Integration
- AI Automation
Data Analytics
- SQL
- Python
- R (Preferred)
- Advanced Excel
- Power BI
- Tableau
- Looker Studio
- Statistical Analysis
- Predictive Analytics
- Data Visualization
Cloud Technologies
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
- Azure Data Factory
- Azure Synapse
- Databricks
- Snowflake
- BigQuery
- Redshift
Data Engineering
- Data Warehouse
- Data Lake
- ETL/ELT
- Apache Spark
- Hadoop
- Kafka
- Airflow
- Data Modeling
Database Technologies
- SQL Server
- PostgreSQL
- MySQL
- Oracle
- MongoDB
Programming
Preferred Certifications
- Microsoft Azure Data Engineer
- Azure AI Engineer Associate
- AWS Certified Solutions Architect
- Google Professional Data Engineer
- Databricks Certified Professional
- Snowflake Certification
- Microsoft Power BI Data Analyst
Qualifications
- Bachelor's/Master's in Computer Science, Data Science, AI, IT, Engineering, or related field.
- 10+ years of experience in Data Analytics, AI, Cloud, or Digital Transformation.
- Experience leading enterprise-scale AI and analytics projects.
- Excellent stakeholder management and leadership skills.
Preferred Industry Experience
- IT Services
- Digital Transformation
- Consulting
- Manufacturing
- Education
- Healthcare
- BFSI
- Telecom
- Government Projects
What We're Looking For
- Strategic thinker with strong business acumen.
- Proven leadership in AI and data-driven transformation.
- Excellent communication and presentation skills.
- Ability to manage cross-functional teams and enterprise stakeholders.
- Passion for innovation, automation, and emerging technologies.
Pay: Up to ₹50,000.00 per month
Benefits:
- Paid sick time
- Provident Fund
Work Location: In person
