Customer Data Platform Specialist

About the Role :

We are seeking a highly skilled CDP & Marketing Analytics Specialist to join our digital transformation team. The ideal candidate will have hands-on experience with Customer Data Platforms (CDPs) and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale

Key Responsibilities :

• Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP.
• Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka, etc.
• Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies.
• Develop and deploy AI / ML-driven customer segmentation models (behavioral, demographic, predictive e.g., high CLV, churn-risk clusters).
• Perform advanced analytics, including :
• Customer Lifetime Value (CLV) estimation
• Churn prediction and retention modeling
• Attribution analysis to evaluate campaign ROI
• Sentiment and intent analysis using NLP on social media, chat, and survey data
• Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels.
• Propensity model to forecast the likelihood of customer actions such as purchases, upgrades, or churn.
• Build and operationalize predictive models and apply GenAI techniques for :
• Automated customer service chatbots
• Content generation and personalization
• Synthetic data generation for simulation and testing
• Implement real-time decisioning engines and API-based integrations with advertising platforms (Google Ads, Meta, etc.) for dynamic campaign execution.
• Continuously monitor and tune models and pipelines for optimal performance and data freshness.
• Collaborate with cross-functional teams including marketing, data engineering, product, and analytics

Qualifications :

Preferred Skills :

(ref : hirist.tech)