Personalization Product Director – Data Platform Lead
JPMorgan Chase
- Location
- NY, United States
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 1,524 approvals (FY2023)
- Posted
- Sep 4, 2026
About this role
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. You will drive the strategy and execution of ML‑powered personalization and next‑best‑action capabilities for marketing and servicing across mobile, web, contact center, branch, and marketing channels. You will translate research and analytics into clear roadmaps, partner with Engineers and Data Scientists to design and iterate Product Features, run experiments to validate impact, and deliver measurable outcomes while upholding privacy, consent, and fairness standards. As a Product Director in Personalization & Customer Insights Team, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. We are hiring a leader to shape the newly formed Personalization Data Platform team. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. You will lead the data products and integrations that feed the operating memory for our agentic channel. Your team curates secure, consented customer context and personalized signals that help the assistant understand intent and maintain continuity—delivered to the Channel/Interface team and to domain agents that take action on customers’ behalf. Lead the data products that power the operating memory for our new Chase agentic channel—curating secure, consented customer context and personalized signals—while partnering with the Channel/Interface team and domain agents. Also drive ML‑powered personalization and next‑best‑action optimization across channels for marketing and servicing.
Job responsibilities
Oversees the product roadmap, vision, development, execution, risk management, and business growth targets Leads the entire product life cycle through planning, execution, and future development by continuously adapting, developing new products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives Owns product performance and is accountable for investing in enhancements to achieve business objectives Monitors market trends, conducts competitive analysis, and identifies opportunities for product differentiation Lead the development of ML‑powered personalization and next‑best‑action capabilities for marketing and servicing; frame hypotheses, prioritize use cases, and measure impact through experimentation. Translate user research and analytics into epics, user stories, and acceptance criteria; manage the product backlog and delivery across discovery, launch, and continuous improvement. Collaborate closely with Data Scientists and Engineers across the product lifecycle (design, training, evaluation, deployment, monitoring) for personalization solutions. Champion an API‑ and event‑driven architecture on cloud infrastructure to ensure scalable, reliable delivery of context and signals across channels. Establish and track product KPIs for engagement, quality, and business outcomes; ensure delivery against time, cost, and quality targets. Uphold responsible data practices in