LiveFull-timeApply by 1 Nov 2026
Data Strategy Lead - AI
Kolkata, West Bengal, India
- Experience
- 6–10 years
- Employment
- Full-time
- Work mode
- Onsite
- Salary
- ₹9.6 L–24.1 L / year
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-09-02
Required skills
| Skill | Experience | Level |
|---|---|---|
| Artificial Intelligence | 3+ years | Not specified |
| Data Science | 6+ years | Not specified |
| Machine Learning | 5+ years | Not specified |
| Generative AI | 2+ years | Not specified |
| Langchain | 3+ years | Not specified |
| TensorFlow | 3+ years | Not specified |
| Product analytics | 3+ years | Not specified |
| RAG | 4+ years | Not specified |
| MCP | 2+ years | Not specified |
| GCP | 6+ years | Not specified |
| VertexAI | 4+ years | Not specified |
| Predictive Modeling | 4+ years | Not specified |
About the role
Role Objective:
Lead the development of AI-driven data architecture, advanced analytics, and intelligent automation—leveraging modern cloud platforms—to power strategic decision-making, enhance customer experiences, and drive business growth.
Key Responsibilities:
- Design and maintain clean, scalable, AI-ready data pipelines using fundamentals of data engineering, ensuring robust data governance and archival processes.
- Build and optimize data infrastructure across GCP and AWS, ensuring scalability, security, and performance.
- Oversee the creation of Customer 360 intelligence platforms, integrating behavioral, transactional, and engagement data for unified insights.
- Drive AI-powered predictive modeling (churn, LTV, activity scoring), recommendation engines, and automated product experimentation (A/B/n testing, dynamic pricing strategies).
- Lead product analytics initiatives to measure feature adoption, user behavior, and product performance, feeding insights into business and product roadmaps.
- Map and optimize customer journeys with real-time data insights, AI-based personalization, and automated interventions.
- Champion data democratization by developing interactive dashboards, natural language query tools, and self-service analytics powered by generative AI.
- Collaborate with cross functional teams to deploy AI-driven automation—including conversational agents, sentiment analysis, and intelligent knowledge base enrichment.
- Stay ahead of emerging AI and cloud technologies, evaluating their application across business units.
Ideal Background:
- 6–10 years in data science, data engineering, or AI strategy with proven leadership experience.
- Strong expertise in machine learning for business applications, including generative AI, LLMs, and recommendation systems.
- Hands-on experience with GCP, AWS, the modern data stack (dbt, Snowflake, Airflow, Looker, etc.), and AI tooling (LangChain, Vertex AI, Azure AI, etc.).
- Proven track record in architecting and deploying end-to-end AI and analytics solutions that deliver measurable business impact.
- Solid grasp of product analytics frameworks and methodologies.
- Excellent communication skills to translate complex AI/data concepts into actionable strategies for non-technical stakeholders.