Marketing Delivery Lead, Vice President – Web Analytics & Data

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Asset & Wealth Management

This role owns the web analytics product strategy, focusing on data collection, analysis, and optimization across digital platforms. It involves defining roadmaps, creating tracking specifications, ensuring data accuracy, managing agency relationships, and interpreting performance data. A key aspect is collaborating with BI and data science teams to scale AI-powered web data solutions, including predictive analytics and automated optimization recommendations. Experience with AI/ML concepts and tools applied to web data is required, as is experience in a regulated industry.

What you'd actually do

  1. Define and own the web analytics product roadmap, aligning data collection and reporting capabilities with broader business goals and digital KPIs, and acting as the web analytics subject matter expert.
  2. Partner with marketing, digital and product teams to establish measurement frameworks and tracking models that support decision making.
  3. Author and maintain comprehensive technical tracking requirements for web, mobile app and advisor tool environments, including event taxonomies, data layer specifications and tagging standards.
  4. Conduct QA and validation of tracking implementations to ensure data accuracy and integrity across all digital properties.
  5. Collaborate closely with Business Intelligence and data science teams to design and scale AI powered web data solutions, including predictive analytics, opportunity identification and automated optimization recommendations.

Skills

Required

  • 5+ years of experience in digital analytics, web analytics or analytics product management.
  • Deep hands‑on expertise with Google Analytics (GA4) and tag management platforms.
  • Strong experience writing technical tracking specifications for websites, mobile applications and complex digital tools.
  • Demonstrated ability to analyze and interpret web performance data and present findings to both technical and non‑technical audiences.
  • Experience managing external vendors or agencies, including scoping work, managing timelines and ensuring quality delivery.
  • Solid understanding of data layer architecture, event tracking and digital measurement frameworks.
  • Familiarity with AI/ML concepts and experience partnering with data science or BI teams on analytics solutions.
  • Excellent communication, collaboration and stakeholder management skills, with the ability to operate in a fast‑paced, matrixed environment.
  • Experience in financial services or another highly regulated industry.
  • Hands‑on experience with AI or machine learning tools applied to web data.
  • Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking.

Nice to have

  • Experience in financial services or another highly regulated industry.
  • Hands‑on experience with AI or machine learning tools applied to web data.
  • Knowledge of data privacy regulations (such as GDPR and CCPA) and their implications for digital tracking.
  • Familiarity with BI and data visualization tools.
  • Experience with Adobe Analytics in addition to Google Analytics.

What the JD emphasized

  • AI-powered web data solutions
  • partnering with BI and AI teams
  • Experience in financial services or another highly regulated industry