CDP Specialist

3 weeks ago

Gurgaon, Haryana, India tagged Full time

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.

(ref:hirist.tech)

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