Product Manager, Vice President - CIB Markets Technology

JPMorgan Chase & Co.•Jersey City, NJ

4d•$99,750 - $150,000

About The Position

As a Product Manager at the Vice President level, you will own end-to-end product delivery for one or more areas of the MDL platform. You will act as the voice of the customer — working backwards from real user outcomes to define what gets built, why, and what success looks like. You will operate at the intersection of business strategy, data engineering, and AI — translating complex platform capabilities into tangible value for stakeholders across CIB Markets. This is not a coordination role. We are looking for someone who connects the dots across business, technology, and user context — challenges direction before committing, brings ambitious ideas and defends them, and holds accountability for outcomes — not just delivery. Work is done when someone not in the room can trust it and act on it.

Requirements

Proven track record leading product management for data platforms or technical software at scale; acts as the senior product voice in cross-functional settings.
Deep customer voice — represents end user needs with conviction; distinguishes what users ask for from what they actually need.
Strong command of discovery and prioritization frameworks; working backwards methodology experience preferred. Proven ability to influence senior stakeholders and drive decisions in ambiguous, high-pressure environments.
Exceptional communication — makes complex topics legible for diverse audiences, from engineers to MD-level business partners.
Hands-on experience with AWS and Databricks (required); Snowflake a plus.
Experience managing AI/ML products in production — LLMs, agentic systems, or data-driven automation.
Technical depth in data environments; Python and/or PySpark familiarity a plus.
CIB Markets domain knowledge — understanding of front office, trading, and markets workflows; familiarity with quant or market data consumption patterns is a strong plus.

Nice To Haves

Snowflake a plus.
Python and/or PySpark familiarity a plus.
familiarity with quant or market data consumption patterns is a strong plus.

Responsibilities

Shapes and advocates for the product vision, strategy, and roadmap for assigned MDL capabilities, ensuring alignment with business objectives and the platform's evolution toward a data mesh and AI ecosystem.
Work backwards from customer outcomes to define requirements, acceptance criteria, and deliverables — from discovery through launch and post-release measurement.
Own and prioritize the product backlog; define scope and milestones in partnership with engineering and delivery. Translate priorities into clear, outcome-driven work.
Partner with data engineers, data scientists, business analysts, and senior stakeholders to define scope, agree on success criteria, and drive alignment across cross-functional teams.
Lead product management for AI-powered capabilities — including LLM-based tools, agentic workflows, and conversational analytics — from concept through production.
Define and track KPIs and adoption metrics; use data to continuously re-evaluate priorities and improve platform impact.
Identify and mitigate risks, dependencies, and impediments proactively — escalate early, resolve fast.
Ensure successful launches through documentation, training, and stakeholder communications.