Personalization Product Manager - Vice President

JPMorgan Chase & Co.•New York, NY

2d•$122,550 - $201,000

About The Position

As a Product Manager within the 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. 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 strategy and execution of machine learning–powered personalization and next-best-action capabilities across mobile, web, contact center, branch, and marketing. You will translate research and analytics into clear roadmaps, partner with data science, machine learning engineering, channel teams, and business stakeholders to prioritize opportunities, design and iterate recommendation, next-best-action, and agentic solutions, run experiments to validate impact, and operationalize scalable, reliable model lifecycle infrastructure—while upholding privacy, consent, and fairness standards.

Requirements

5+ years of experience or equivalent expertise in product management or a relevant domain area
Advanced knowledge of the product development life cycle, design, and data analytics
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
Proven product management leadership delivering AI‑powered products to production in customer‑facing environments, in close partnership with Data Scientists and ML Engineers across the model lifecycle
Experience defining and shipping data products that support agentic assistants (e.g., operating memory, context, or signals) and integrating them with partner teams that own the channel experience
Demonstrated success with ML‑driven personalization and next‑best‑action for marketing and/or servicing, including experimentation (e.g., A/B testing) and outcome measurement
Proficient knowledge of the product development life cycle, including discovery, requirements definition, and backlog management (epics, user stories, refinement, PBR, JIRA)
Strong data literacy and the ability to turn user research, journey insights, and product metrics into decisions and roadmaps that deliver on time, cost, and quality
Excellent people leadership and stakeholder management: mentoring product managers and influencing partners across Product, Design, Engineering, Marketing/Servicing, and business teams
Experience with API‑first delivery on cloud (e.g., AWS) and coordination across multi‑channel experiences (mobile, web, contact center, branch, marketing).
Clear, structured communicator with strong written and presentation skills

Nice To Haves

Demonstrated prior experience working in a highly matrixed, complex organization
Hands‑on experience with AI/ML and LLMs in production (e.g., agentic assistants, personalization, recommendations), including model evaluation and iteration with Data Science partners
Experience with conversational/agentic systems, operating‑memory or context architectures, and recommendation systems for marketing/servicing
BS or MS in Engineering, Data Science, or a comparable field of study
Knowledge of current digital banking trends and customer experience patterns, and familiarity with privacy, consent, and fairness considerations in AI

Responsibilities

Develops a product strategy and product vision that delivers value to customers
Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
Define and own the strategy and roadmap for operating‑memory data products: what customer signals are needed, how they are represented, governed, and retrieved safely, and how they are delivered to the agent and domain agents at the right time
Partner with the Channel/Interface team on how memory and context are used in the assistant experience; align on contracts, SLAs, and guardrails to ensure reliability and safe use
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 ML Engineers across the model lifecycle (design, training, evaluation, deployment, monitoring) for LLM/ML‑based 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 AI and data practices in partnership with risk, privacy, and compliance teams, including consent management, and fairness.
Provide people leadership: mentor product managers, foster a culture of experimentation and measurable outcomes, and influence cross‑functional partners