Senior Product Associate - Marketing Automation Platforms

JPMorgan Chase JPMorgan Chase · Banking · Columbus, OH +1 · Consumer & Community Banking

This role is for a Senior Product Associate focused on Marketing Automation Platforms within JPMorgan Chase's fintech domain. The primary responsibilities involve product development and optimization, user research, analyzing metrics, and collaborating with cross-functional teams. While there is exposure to AI/ML concepts like solution development and prompt design, the core function is product management for marketing platforms, not direct AI/ML model development or research.

What you'd actually do

  1. Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.
  2. Considers and plans for upstream and downstream implications of new product features on the overall product experience.
  3. Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential. product features that provide value to customers.
  4. Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.
  5. Writes the requirements, epics, and user stories to support product development.

Skills

Required

  • 3+ years of experience or equivalent expertise in product management or a relevant domain area.
  • Proficient knowledge of the product development life cycle.
  • Experience in product life cycle activities including discovery and requirements definition.
  • Developing knowledge of data analytics and data literacy.
  • AI/ML exposure, with emphasis on AI/ML solution development and prompt design/creation.
  • Strong deck-building and storytelling skills, producing stakeholder-ready presentation materials.
  • Knowledge of marketing analytics/data, including how data enables segmentation, customer journeys, and measurement/attribution.
  • Familiarity with Customer Data Platforms (CDPs).
  • Technical fluency with event-driven architecture, including Kafka concepts (topics, partitions, consumer groups, offsets, schemas, replay) and how streaming impacts real-time segmentation/journeys.
  • Ability to translate between technical and business audiences—communicating requirements, trade-offs, and outcomes clearly to engineers, data teams, and non-technical stakeholders.

Nice to have

  • AI/ML Certifications
  • MAP/MarTech experience (platform operations, campaign/journey build) and ecosystem integrations (CDP/CRM/analytics, APIs).

What the JD emphasized

  • AI/ML exposure
  • AI/ML solution development
  • prompt design/creation