Product Owner – Post-Trade Lifecycle Transformation
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Description
You'll own:
Trade Lifecycle Operational Flow
- Design structured lifecycle events that make downstream controls deterministic — not reactive
- Define the canonical operational schema that standardizes how trades flow through the lifecycle
- Drive the engineering backlog from MVP through to production at scale
End-to-End Integration
- Work with Trade Capture teams to ensure upstream data quality eliminates downstream manual adjustments at source
- Partner with Trade Lifecycle and Digital Channels squads to deliver cohesive end-to-end outcomes
AI & Automation
- Embed AI into the lifecycle — automated exception resolution, intelligent routing, predictive controls
- Challenge every manual touchpoint: if it can be a rule, make it a rule; if it can be learned, train a model; if it shouldn't exist, kill it
- Design systems where AI agents operate as first-class participants in the post-trade lifecycle — not bolted on, but built in
Building with People and Agents
- Lead hybrid teams where engineers and AI agents collaborate to design, build, test, and ship
- Define how AI agents are deployed within your squads — as coding partners, testing agents, data pipeline builders, and operational executors
- You're not managing a team that uses AI. You're building a team where AI is a teammate.
Platform Delivery
- Build internal-first with commercial potential — solutions designed to scale beyond a single business
- Think in platforms, not projects