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CDP Specialist - Adobe Experience Platform (2-6 yrs)
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posted 9d ago
Flexible timing
Key skills for the job
JD for CDP Specialist :
As a CDP Specialist, you will be responsible for building, optimizing, and managing a robust customer data ecosystem to support personalized marketing strategies, analytics, and data-driven decision-making. The role demands technical expertise, and hands-on development skills to implement and maintain the CDP infrastructure.
Responsibilities :
- Lead the implementation and configuration of the Customer Data Platform, ensuring proper integration with marketing technologies.
- Oversee the collection, organization, and maintenance of customer data within the CDP, ensuring it is accurate, complete, and up to date.
- Implement data governance protocols to maintain data quality, consistency, and compliance with regulatory standards.
- Leverage the CDP to create highly targeted and segmented customer groups based on behaviors, demographics, and past interactions.
- Collaborate with marketing teams to ensure the effective use of customer segments for email, social, web, and other marketing channels.
- Use and implement ML models on CDP platform to derive actionable insights from customer data stored in the CDP.
- Develop predictive analytics models to enhance customer segmentation, improve personalization strategies, and drive dynamic pricing models.
- Implement recommendations and personalization in marketing campaigns across email, social media, web, and app channels.
- Leverage powered tools to predict customer behaviors, optimize campaigns, and recommend relevant content or products to customers.
Qualifications :
Education :
- Bachelor's degree in marketing, Data Science, Computer Science, Business Analytics, or a related field. A master's degree is a plus.
Experience :
- 2-6 years of experience working with Customer Data Platforms, AI/ML-driven tools, and marketing technologies.
Technical Skills :
- Proficiency in CDP platforms such as Adobe Experience Platform, or similar.
- Strong understanding of AI/ML algorithms, predictive analytics, and ML business models powered.
- Experience in tools like Python, R, or similar for AI model development.
Functional Areas: Other
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