Vice President, Digital Marketing Analytics

JPMorganChase; Wilmington (DE); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorganChase seeks a VP, Digital Marketing Analytics to lead quantitative research and experimentation, translating customer behavior and campaign performance into actionable insights. You will build team capability through coaching, hire, and enforce rigorous analytics standards and ethical AI practices.

You will steer measurement initiatives, design experiments, and optimize marketing performance using classical methods and prudent AI-enabled workflows.

Qualifications

• Graduate or post-graduate degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or ML).
• 5+ years of hands-on analytics experience in banking strategic analytics.
• Hands-on proficiency with Python and SQL; experience with visualization tools (Tableau) and analytics tools (Alteryx).
• Experience with Adobe Analytics (implementation, reporting, and insight generation).
• Strong statistical or econometric foundation with hands-on experimentation and measurement experience (A/B testing, causal inference).
• Strong analytics using SAS, Python, or R.
• Excellent communication skills to translate complex models to stakeholders.
• Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs.
• Ability to apply AI/generative AI to improve analysis, documentation, and workflows.

Responsibilities

• Deliver quantitative problem solving and analytical research to support digital marketing initiatives.
• Apply advanced analytical techniques to drive research, experimentation, and measurable outcomes.
• Lead and develop a high-performing analytics team with scientific rigor and ethical AI practices.
• Maintain pragmatic use of generative AI and LLMs alongside classical statistical methods.
• Partner with cross-functional teams to translate insights into actions and business impact.
• Design scalable, reliable analytics processes to optimize outcomes.
• Analyze marketing performance, measurement configuration, and customer behavior to improve channels.
• Own strategic measurement initiatives and assess statistical and practical significance.
• Conduct hypothesis testing and advanced experimental design to measure impact.

Skills

Python

SQL

Tableau

Alteryx

Adobe Analytics

Statistics/Econometrics

A/B Testing

Causal Inference

Communication

AI / LLM awareness

Supervised Learning

Education

Graduate or post-graduate degree in a quantitative discipline

Tools

Tableau

Alteryx

Adobe Analytics

AWS

Snowflake

Spark/EMR

Job description

Job Description

You will help shape digital marketing strategy through rigorous analysis, experimentation, and clear storytelling that drives business outcomes. You will work with partners across Marketing, Finance, Product, and Technology to turn complex questions into measurable actions. You will grow and lead a high-performing analytics team, building scalable, reliable ways of working that improve how marketing decisions are made.

You will help shape digital marketing strategy through rigorous analysis, experimentation, and clear storytelling that drives business outcomes. You will work with partners across Marketing, Finance, Product, and Technology to turn complex questions into measurable actions. You will grow and lead a high-performing analytics team, building scalable, reliable ways of working that improve how marketing decisions are made.
As a Vice President, Digital Marketing Analytics at JPMorganChase within the Digital Marketing Analytics team, you will lead quantitative research and experimentation to optimize marketing performance and customer experiences. You will translate customer behavior and campaign performance into insights that leaders can act on, and you will build team capability through coaching, hiring, and a culture of scientific rigor and responsible use of advanced analytics. You will take a pragmatic approach to generative AI and large language models (LLMs) as complementary tools, while relying on classical statistical and causal methods for core measurement and optimization workstreams.

Job Responsibilities

• Deliver effective quantitative problem solving and analytical research to support key digital marketing initiatives
• Apply deep business understanding and advanced analytical techniques to drive research, experimentation, and measurable outcomes
• Lead, mentor, hire, and develop a high-performing analytics team; promote scientific rigor, ethical AI, and continuous learning
• Maintain a pragmatic approach to generative AI and large language models (LLMs) as complementary tools, prioritizing classical statistical methods for core measurement and optimization work
• Partner with cross-functional teams (for example, Marketing and Finance) to drive insights into action and deliver business impact
• Design and implement scalable, reliable analytics processes to optimize business outcomes
• Conduct extensive analysis of marketing performance, measurement configuration and settings, and customer behavior to improve channel strategies and optimization using advanced quantitative methods
• Own and support strategic measurement initiatives, including effectiveness evaluation and profit and loss analysis; quantify statistical and practical significance
• Solve unstructured business problems and develop deep-dive analyses of customer behavior using multiple analytics and statistical techniques
• Conduct hypothesis testing and advanced experimental design (A/B and multivariate tests) to measure the impact and effectiveness of marketing strategies

Required Qualifications, Capabilities And Skills

• Graduate or post-graduate degree in a quantitative discipline (for example, Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning)
• 5+ years of hands-on analytics experience in banking strategic analytics
• Hands‑on proficiency with Python and SQL; experience with visualization tools (for example, Tableau) and analytics tools (for example, Alteryx)
• Experience with Adobe Analytics (implementation, reporting, and insight generation)
• Strong statistical or econometric foundation with hands‑on experimentation and measurement experience, including A/B testing, causal inference, and experimentation frameworks
• Strong advanced analytics skills using SAS, Python, or R
• Excellent communication skills with the ability to translate complex models into clear explanations and reason codes, influencing cross‑functional stakeholders and senior leadership
• Exposure to enterprise AI enablement, LLM‑assisted workflows, or analytics transformation programs
• Ability to evaluate opportunities to apply AI, generative AI, and intelligent automation to improve investigative analysis, documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency
• Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration and threshold optimization, and imbalanced learning

Preferred Qualifications, Capabilities And Skills

• Proficiency in big data extract, transform, and load processes across structured and unstructured data sources
• Professional experience with AWS, Spark or EMR, and Snowflake
• Experience with Confluence and generative AI tools (for example, ChatGPT), subject to firm‑approved usage
• People leadership experience, including recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture
• Strong understanding of IT processes and databases, with the ability to work directly with data owners and custodians

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most‑used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.