Digital Marketing Analytics Manager-Vice President

JPMorganChase•Wilmington, NC

About The Position

As a Digital Marketing Analytics Manager in Small Business Decision Sciences, you will lead analytics across the full digital marketing lifecycle to drive measurable growth. You will translate business goals into testable strategies, rigorous measurement plans, and stakeholder-ready insights, partnering with marketing, modeling, finance, and data teams to design, execute, and evaluate campaigns using governed, repeatable methods. You will coach junior talent and strengthen documentation, storytelling, and decision impact. The role shapes how digital marketing campaigns are planned, tested, and measured end to end. Your analysis will inform investment, targeting, and incremental value decisions. You will lead strategy and execution across public, secure, and owned channels; manage relationships with marketing partners; develop measurement and financial frameworks; and communicate actionable findings to senior stakeholders. You will also help improve analytic tooling, data environments, data quality, and reporting processes.

Requirements

Bachelor’s degree in an applicable field.
Six years of marketing data and analytics experience.
Proficiency in Structured Query Language (SQL) and at least one analytics programming language, such as Python, SAS, or R.
Experience with digital data platforms such as Adobe Analytics and CJA, relational databases, and large-scale data platforms including Snowflake.
Hands-on experience delivering financial analytics and performance insights, including test design, pro forma estimates, and measurement of actual results.
Ability to influence and communicate with senior stakeholders through clear, concise narratives.
Experience supporting marketing strategy and end-to-end campaign execution.
Strong analytical reasoning and structured problem-solving skills, including the ability to translate complex data into actionable insights.
Experience building or using dynamic, self-service reporting solutions and automated dashboards.

Nice To Haves

Experience leading attribution and incrementality measurement approaches across multiple channels.
Experience designing scalable measurement frameworks that support auditability and repeatability.
Advanced experimentation expertise, including power considerations and practical test constraints.
Experience improving analytics processes through automation and reusable assets.
Familiarity with emerging analytics applications that accelerate insight generation and decisioning.
Prior experience mentoring analysts in consultative delivery and executive storytelling.

Responsibilities

Lead end-to-end digital marketing strategy and execution across public, secure, and owned channels, optimizing performance to drive qualified traffic, pipeline, and conversions.
Manage relationships with assigned marketing partners, including intake, prioritization, scoping, timelines, and final outputs.
Define experimentation strategies by framing hypotheses, designing test-and-control approaches, and aligning on success metrics.
Support campaign execution by validating audience selection, measurement feasibility, and operational requirements.
Build impact models and financial business cases to guide audience, offer, channel, and funding decisions.
Develop reusable frameworks to evaluate incrementality, profitability, and return on investment using forecasts and actual results.
Produce performance reporting and post-test readouts with actionable recommendations for senior stakeholders.
Use and help evolve analytic tooling and data environments to improve the speed, scale, and consistency of insights.
Partner with modeling, finance, channel, and delivery teams to ensure solutions are implementable and aligned with standards.
Define and advocate for data requirements, including addressing data gaps, data quality, and lineage considerations.
Coach and develop junior team members in analytical methods, documentation practices, and stakeholder-ready storytelling.
Analyze client experience and journey outcomes, including AI-enabled discovery and servicing pathways, to identify improvement opportunities and measurable value creation.