Marketing Analytics Lead-Vice President at JPMorgan Chase & Co. | Wilmington, DE

JPMorgan Chase & Co.

Marketing Analytics Lead-Vice President

Wilmington, DE (On-site)

Salary Not AvailableSenior Level5+ years expFull time

Posted 1 month ago

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Job Summary

Own the analytics-driven marketing measurement backbone: size opportunities, shepherd partner work streams, run experiments with rigorous design, and translate results into scalable ROI, using Snowflake and AI-enabled tools to speed insights.

Own cross-functional delivery for marketing programs from intake to outputs, aligned to calendars and business goals.
Lead hypothesis-driven experimentation and measurement with clear success metrics and post-test readouts.
Develop scalable analytic assets and framework to assess incrementality, ROI, and attribution, working with data teams to close gaps.

Job Description

Lead financial and analytical optimization of marketing programs throughout the lifecycle: opportunity sizing, targeting, test design, execution support, performance reporting, and insights.
Own stakeholder relationship management and delivery for assigned marketing partners (book of work): intake, prioritization, scoping, timelines, and outputs; align work to business goals and campaign calendars.
Drive experimentation strategy and measurement rigor , including hypothesis framing, test/control design, success metrics, and post-test readouts; support list execution requirements and measurement feasibility.
Develop analytic assets and frameworks to evaluate campaign incrementality, profitability, and ROI (e.g., forecast/proforma vs. actuals, attribution/measurement approaches where relevant).
Leverage and help evolve the analytics toolset , including Snowflake and emerging AI-enabled analytical applications , to improve speed, scale, and consistency of insights.
Collaborate across functions (modeling, finance, marketing channels, and execution/delivery teams) to ensure solutions are implementable, controlled, and aligned to standards.
Advocate for and define data requirements needed to monitor performance, targeting, and execution; partner with data teams to address data gaps, quality, and lineage considerations.
Maintain and enhance processes and controls supporting measurement quality, repeatability, and auditability of results.
Coach and develop junior team members , setting standards for analytical methods, documentation, and stakeholder-ready storytelling.