VP, Data Scientist Lead, Digital Channels Analytics

As a Quant Analytics Manager on the Digital Analytics team you support an extensive portfolio of digital products by using data to provide recommendations that enhance the customer experience and build long term, profitable customer relationships. In this role, you will be the driver of the analytics book of work that is transforming Chase’s cross-channel, cross-line of business strategy to a hyper-personalized, data-driven, customer centric model. In this role, you’ll lead a high-impact analytics book of work focused on A/B experimentation and causal measurement —from defining the right OKRs , to designing tests, to translating results into clear recommendations that improve CSAT, engagement, and deepening . You’ll partner closely with Product, Tech, Design, and Strategy to identify the most valuable customer and channel opportunities, build robust measurement plans, and elevate experimentation best practices across our digital platforms. We’re also looking for someone excited to develop new AI-enabled analytics capabilities for channel stakeholders—leveraging modern approaches like LLMs, retrieval-augmented generation, and agentic workflows to speed insight generation, enable self-serve analysis, and improve decisioning.

Data Storytelling : Analyze and visualize digital customer behaviors to craft compelling narratives that drive insights and action. OKR Management : Lead the creation, iteration, reporting, and causal analysis of OKRs to track and achieve strategic goals. Data-Driven Decision Making : Foster data-informed decisions and experimentation by establishing strategic partnerships, promoting best practices, and ensuring clear communication.

Identification : Develop OKRs and conduct deep-dive analyses to uncover opportunities for driving Digital CSAT, Engagement, and Deepening Consultation : Serve as a subject matter expert in Digital data, providing consultation to the broader Data & Analytics organization. Required qualifications, skills, and responsibilities: 7+ years of experience analyzing customer experiences, digital products/usage Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners Experience in querying big data platforms and SAS/SQL Experience with digital analytics Bachelor’s degree is required (preferred in data science, mathematics, statistics, econometrics, engineering, or related fields). Preferred qualifications, skills, and responsibilities: Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks. Experience with analytical tools such as Python, R, Alteryx, Tableau, and Adobe Analytics Experience working with Big Data environments (i.e., Snowflake, AWS) Experience with A/B testing