Marketing Journey Platforms Lead (AI-Driven Self-Serve)

Capital One Group

New York (NY)

On-site

USD 219,000 - 250,000

Full time

4 days ago
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Job summary

Capital One is seeking a Marketing Journey Platforms Lead to architect and drive the future of enterprise customer engagement at scale. You will evolve core MarTech journey platforms with autonomous workflows and real-time decisioning, enabling lines of business with self-service capabilities while ensuring a robust, resilient infrastructure.

The role sits at the intersection of product strategy, AI capabilities, and enterprise-scale delivery.

Qualifications

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: a Bachelor's or Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field), Business or Marketing

Responsibilities

  • Define and execute the multi-year vision for intelligent, omnichannel customer journeys.
  • Serve as the product anchor for platform reliability, performance, and modern architecture.
  • Deliver multi-tenant self-service capabilities that accelerate campaign velocity.
  • Steer roadmap alignment with tier‑one MarTech vendors and internal tech leaders.
  • Establish data privacy, multi-tenancy, and auditability standards.

Skills

Product Management
Consumer facing products

Education

Bachelor's or Master’s Degree in a quantitative field / Business or Marketing

Job description

Capital One is seeking a Marketing Journey Platforms Lead to architect and drive the future of enterprise customer engagement at scale. You will evolve core MarTech journey platforms with autonomous workflows and real-time decisioning, enabling lines of business with self-service capabilities while ensuring a robust, resilient infrastructure.

The role sits at the intersection of product strategy, AI capabilities, and enterprise-scale delivery.

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