Marketing Analytics Vice President - AI Data Products & Measurement

About the role

You will help shape how we measure and optimize marketing impact by building modern analytics products and measurement approaches across channels. You will work with partners across marketing, engineering, and risk functions to improve decision-making, operational efficiency, and business outcomes. As a Marketing Analytics Vice President, 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 and translate complex analytical findings into clear recommendations that senior stakeholders can act on.

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

Requirements

• 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 (e.g., automated insight generation, reporting synthesis, knowledge retrieval, and workflow automation) with adherence to firm policies and controls

Preferred Qualifications

• 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 (e.g., 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 (e.g., incrementality or causal methods) to marketing and acquisition use cases

Benefits

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.

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.

The 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. 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 powers Chase with insights to create the best customer and business outcomes.