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AI Marketing Analytics Director- Consumer Lending (Remote)

Experian

Salary not specified
Oct 29, 2025
Remote, US
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Experian is looking for a strategic and technical Director of AI Marketing Analytics to lead innovation in data-driven marketing strategies across the consumer lending lifecycle, driving the development and deployment of advanced AI solutions to optimize marketing performance, customer acquisition and portfolio growth.

Requirements

  • Hands-on expertise in building agentic AI systems, with practical experience applying these techniques to real-world marketing analytics or consumer lending use cases
  • Advanced proficiency in Python, Spark and modern AI agent frameworks with a portfolio of implemented agent-based solutions.
  • 8+ years of experience in data science or analytics, with 2 years in a leadership role.

Responsibilities

  • Lead the design, development, and implementation of AI-driven marketing analytics solutions across the consumer credit lifecycle (prospecting, acquisition, portfolio management).
  • Hands-on building and iteration on agentic AI solutions using optimal coding languages and packages, contributing directly to the development of intelligent agents capable of marketing decision-making and optimization.
  • Champion the use of agentic AI intelligence to enhance campaign targeting, personalization, and optimization.
  • Drive the development of new analytical products and services, leveraging Big Data platforms and cloud-based infrastructure.
  • Serve as a subject matter expert on credit bureau data, marketing attribution, and predictive modeling in consumer lending.
  • Oversee the deployment and monitoring of machine learning models in production environments, ensuring performance, compliance and scalability.
  • Translate business requirements into actionable AI solutions, balancing innovation with operational feasibility.

Other

  • Demonstrated expertise in marketing analytics within consumer lending or financial services.
  • Foster a culture of innovation, accountability, and continuous learning.
  • Collaborate with stakeholders across Marketing, Product and Technology to align analytics initiatives with strategic business objectives.
  • Present insights, strategies, and recommendations to senior leadership and external clients.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Marketing Analytics, or related field