About The Position

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. 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.
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