Product Manager, Vice President - CIB Markets Technology

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.
• Acts 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.
• Works backwards from customer outcomes to define requirements, acceptance criteria, and deliverables — from discovery through launch and post-release measurement.
• Owns and prioritizes the product backlog; defines scope and milestones in partnership with engineering and delivery.
• Translates priorities into clear, outcome-driven work.
• Partners with data engineers, data scientists, business analysts, and senior stakeholders to define scope, agree on success criteria, and drive alignment across cross-functional teams.
• Leads product management for AI-powered capabilities — including LLM-based tools, agentic workflows, and conversational analytics — from concept through production.
• Defines and tracks KPIs and adoption metrics; uses data to continuously re-evaluate priorities and improve platform impact.
• Identifies and mitigates risks, dependencies, and impediments proactively — escalates early, resolves fast.
• Ensures 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.
• 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.