CDP Specialist

As a CDP Specialist, you willbe 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:

• Bachelors degree in marketing, Data Science, Computer Science, Business Analytics,
  

or a related field. A masters 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.