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 :

- Bachelor's or masters degree in computer science, Data Science, Marketing Analytics, or a related field.

- 5+ years of experience in CDP implementation and marketing analytics.

- Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP (Experience in any one tool is mandatory).

- Exposure to MLOps practices and model monitoring pipelines.

- Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

- Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake.

- Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers).

- Experience deploying GenAI applications and understanding of LLM frameworks.

- Familiarity with campaign attribution models, marketing funnels, and retention strategies.

- Excellent analytical, communication, and stakeholder management skills.

Preferred Skills :

- Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce).