We are seeking a highly skilled CDP Specialist to join our digital transformation team. The ideal candidate will have strong hands-on experience with Customer Data Platforms (CDPs), real-time data pipelines, and AI-driven marketing strategies. You will drive data-driven decision-making and enable hyper-personalized marketing at scale.Key ResponsibilitiesCustomer Data Ingestion: Design and implement strategies to unify data from multiple sources (CRM, web, mobile, social, PoS, etc.) into a single CDP.Data Pipelines: Build and maintain real-time streaming pipelines using Azure Data Factory, Databricks, Kafka, etc.CDP Implementation: Design and deploy composable CDPs leveraging Snowflake, Databricks, and modern data platforms.AI/ML Models: Develop and operationalize predictive models for:Customer segmentation (behavioral, demographic, predictive)CLV (Customer Lifetime Value) estimationChurn prediction & retention modelingCampaign attribution and ROI analysisSentiment/intent analysis using NLPNext Best Action (NBA) models for personalized recommendationsGenAI Applications: Apply GenAI for:Automated chatbotsContent generation & personalizationSynthetic data generation for testingReal-Time Decisioning: Integrate with ad platforms (Google Ads, Meta, etc.) for dynamic campaign execution.Monitoring & Optimization: Continuously tune models, pipelines, and ensure high-quality, real-time data.Cross-Functional Collaboration: Work closely with marketing, product, data engineering, and analytics teams.Qualifications5+ years of hands-on experience in CDP implementation and marketing analytics.Strong expertise in at least one CDP tool (e.g., Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon Data, Salesforce CDP).Proficiency in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch).Experience with cloud platforms Azure Data Factory, Databricks, Synapse, Snowflake.Hands-on with NLP libraries (spaCy, NLTK, transformers).Familiarity with MLOps and model monitoring pipelines.Strong understanding of marketing funnels, attribution models, and retention strategies.Excellent communication, analytical, and stakeholder management skills.Preferred SkillsPrior experience in B2C / D2C industries (Retail, E-commerce, Travel & Hospitality).Exposure to high-scale personalization and customer engagement platforms.Additional InformationWork Mode: Onsite Hyderabad (No Hybrid/Remote)Working Days: 5 Days a WeekRelocation Support: Open for candidates willing to relocate