Experian logo

AI Marketing Analytics Director- Consumer Lending (Remote)

Experian
Full-time
Remote
United States
Data Analysis

About the Company

  • Experian is a global data and technology company, creating opportunities for people and businesses worldwide.
  • We help redefine lending practices, stop fraud, simplify healthcare, create marketing solutions, and gain deeper knowledge about the automotive market.
  • We do this using our unique mix of data, analytics, and software.
  • We also help millions of people reach their financial goals and save time and money.
  • We work across many markets, including financial services, healthcare, automotive, agribusiness, and insurance.
  • We invest in people and advanced technologies to make the most of data.
  • We are a FTSE 100 Index company listed on the London Stock Exchange (EXPN).
  • We have 22,500 people across 32 countries.
  • Our corporate headquarters are in Dublin, Ireland.
  • Learn more at experianplc.com.
  • Our culture and people are important differences. We take our people agenda seriously, focusing on DEI, work/life balance, development, authenticity, collaboration, wellness, reward, and recognition.
  • Experian’s people-first approach has won awards, including World’s Best Workplaces™ 2024 (Fortune Top 25) and Great Place To Work™ in 24 countries.

Responsibilities

  • Lead the design, development, and setup of AI-driven marketing analytics solutions across the consumer credit lifecycle (prospecting, acquisition, portfolio management).
  • Build and adjust agentic AI solutions using the best coding languages and packages, directly helping develop intelligent agents for marketing decision-making and adjustment.
  • Champion the use of agentic AI intelligence to make campaign targeting, personalization, and adjustment better.
  • Drive the development of new analytical products and services, using Big Data platforms and cloud-based systems.
  • Act as a subject matter expert on credit bureau data, marketing attribution, and predictive modeling in consumer lending.
  • Encourage a culture of innovation, accountability, and continuous learning.
  • Work with people in Marketing, Product, and Technology to make sure analytics efforts match business goals.
  • Oversee the setup and checking of machine learning models in live systems, making sure they perform well, follow rules, and can grow.
  • Drive the development of new analytical products and services, using Big Data platforms and cloud-based infrastructure.
  • Present ideas, strategies, and suggestions to senior leaders and outside clients.
  • Change business needs into practical AI solutions, balancing new ideas with what can actually be done in operations.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Marketing Analytics, or a related field.
  • Proven skill in marketing analytics within consumer lending or financial services.
  • Hands-on skill in building agentic AI systems, with real experience applying these methods to marketing analytics or consumer lending situations.
  • Advanced skill in Python, Spark, and modern AI agent frameworks, with a record of agent-based solutions you have set up.
  • 8 or more years of experience in data science or analytics.
  • 2 or more years in a leadership role.

Benefits

  • Great pay package and bonus plan.
  • Core benefits including medical, dental, vision, and 401K matching.
  • Flexible work setup, with the option to work remote, hybrid, or in the office.
  • Flexible time off, including time off for volunteering, vacation, sick days, and 12 paid holidays.
  • Explore all benefits here: https://yourexperianbenefits.com/cand-index.html

How to Apply

  • Experian is proud to be an Equal Opportunity and Affirmative Action employer.
  • Innovation is important to Experian’s way of working, and our varied workforce drives our success.
  • Everyone can succeed at Experian and bring their whole self to work, regardless of gender, ethnicity, religion, color, sexuality, physical ability, or age.
  • If you have a disability or special need that requires help, please let us know as soon as possible.

Category

Data Analysis

Apply now