Marketing Analytics Vice President - AI Data Products & Measurement

You’ll help shape how we measure and optimize marketing impact by building modern analytics products and measurement approaches across channels. You’ll work with partners across marketing, engineering, and risk functions to improve decision-making, operational efficiency, and business outcomes.

As a Marketing Analytics Vice President at JPMorganChase within the Marketing Analytics team, you will lead the development of measurement frameworks and data products that enable smarter media investment and stronger customer acquisition outcomes. You will combine marketing analytics, experimentation, and data product thinking to deliver scalable solutions. You will translate complex analytical findings into clear recommendations that senior stakeholders can act on.

Job responsibilities

• Build and evolve AI-powered marketing measurement frameworks across channels to assess reach, engagement, traffic quality, acquisition outcomes, lifetime value, return on investment, and budget optimization opportunities
• Develop Generative AI-enabled analytics products, automation tools, and decision-support capabilities to improve marketing operations, planning, governance, and performance optimization
• Design, optimize, and productionize data pipelines and datasets using SQL and Python, leveraging tools such as Alteryx and Tableau and enterprise platforms such as Snowflake
• Integrate first-party application data with third-party vendor, paid media, search, social, and advertiser platform data to create scalable, reusable data products
• Partner with Marketing, Media, Search, Engineering, Legal, Compliance, and external vendors to onboard new data sources, define scalable data models, and support advertiser platform integrations
• Apply experimentation and measurement techniques such as incrementality testing, geographic tests, holdouts, attribution, and funnel analysis to evaluate marketing effectiveness
• Deliver automated insight generation and reporting synthesis, and communicate findings through clear narratives and recommendations for senior stakeholders

Required qualifications, capabilities and skills

• 7+ years of relevant experience in data products, data engineering, decision science, marketing analytics, or a related field
• Formal training or demonstrated applied expertise in SQL and Python for querying, transforming, analyzing, and productionizing large-scale datasets
• Hands-on experience with enterprise data platforms such as Amazon Web Services, Databricks, Snowflake, or similar technologies
• Demonstrated experience building analytics products, automated reporting workflows, dashboards, data models, or decision-support tools for business stakeholders
• Experience designing and productionizing data pipelines and integrating multiple data sources with clear governance and quality controls
• Strong executive presence and storytelling skills, including the ability to translate analytical frameworks into clear business terms and influence senior stakeholders
• Practical familiarity with Generative AI concepts and applied use cases (for example, automated insight generation, reporting synthesis, knowledge retrieval, and workflow automation) with adherence to firm policies and controls

Preferred qualifications, capabilities and skills

• Experience translating campaign, audience, funnel, or media performance insights into strategic recommendations that influence business decisions
• Familiarity with marketing technology, media operations, campaign governance, advertiser platform integrations, or vendor data onboarding (for example, Google Ads or similar platforms)
• Experience building or supporting Snowflake-based data products, marketing data marts, internal analytics platforms, or reusable datasets for marketing optimization
• Experience partnering across technical and non-technical teams to deliver measurable outcomes in a fast-paced environment
• Experience applying advanced measurement approaches (for example, incrementality or causal methods) to marketing and acquisition use cases

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