About the Platform MDL (Markets Data Lake) is the strategic data mesh for CIB Markets — connecting data producers and consumers across the firm to enable data-driven decision making at scale. The platform is evolving beyond data infrastructure into an intelligent analytics platform, integrating AI-powered capabilities, agentic workflows, and conversational analytics to serve a growing ecosystem of internal clients.

Role Overview

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 your opportunity to work at the heart of our #1 ranked Markets franchise, building AI-first technology solutions to maximize value from data.

Job 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.

• Act as a hands-on product leader who can move from strategy to execution — shaping product direction while also creating prototypes and proof-of-concepts that validate user needs, demonstrate business value, and de-risk production delivery.

• 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.

Required Experience and Skills

• 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.