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