Product Manager, AI Platform

Job Description

You enjoy shaping the future of product innovation as a hands‑on leader, driving measurable value for customers, guiding successful launches, and exceeding expectations. Join a dynamic Corporate & Investment Banking team to build and scale a production entity data platform that enables trusted decisions across front‑office workflows, risk and controls, and AI‑driven applications.

As a Product Manager in the C360 team, you are an integral part of the organization that delivers core data products used every day across the firm. You will own the end‑to‑end product life cycle for resolving millions of organizational records from internal systems and third‑party providers into a single, trusted global universe of entities, and producing an arbitrated “golden profile” that downstream platforms rely on.

This is a product ownership role focused on shipping capabilities into production at scale, not an advisory or analytics‑only role and requires strong operating discipline, technical fluency, and cross‑functional leadership.

• Develop a product strategy and vision that delivers customer value by establishing a single, trusted, global universe of organizations and an arbitrated “golden profile” that downstream teams and platforms can rely on in production.
• Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap, including partnering with front‑office, operations, and control stakeholders to define measurable outcomes for match quality, duplicate reduction, profile completeness, and adoption.
• Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition, translating business needs into clear, testable requirements for entity resolution, attribute arbitration, challenge‑and‑override workflows, and data onboarding patterns.
• Build the framework and track the product’s key success metrics such as cost, feature and functionality, risk posture, and reliability, including precision/recall and false positive/negative rates, resolution throughput and cycle time, duplicate creation rates, golden profile correctness and completeness, and service‑level targets for adjudication workflows.
• Lead delivery of entity resolution at scale across internal systems and third‑party sources by balancing deterministic rules with machine learning‑assisted matching, ensuring resolution decisions are explainable, traceable, and auditable for downstream reliance.
• Own the arbitration and “golden record” capabilities that select best attribute values using configurable logic (e.g., consensus and recency), including workflows that allow expert challenge, override, and safe propagation of corrections with full provenance.
• Define a third‑party data onboarding strategy and operating model, prioritizing integrations based on business value and readiness, setting quality and documentation standards, and establishing scalable onboarding patterns that prevent uncontrolled schema sprawl.
• Deliver diagnostic and operational tooling that enables users and operators to understand why entities matched or did not match, how attribute selections were made, and where data quality issues are creating adverse outcomes.
• Introduce AI‑ and agent‑assisted processing patterns to improve throughput and reduce manual intervention, while maintaining appropriate governance, human‑in‑the‑loop controls, and objective evaluation of model performance over time.
• Partner closely with engineering, applied machine learning, architecture, data governance, and business stakeholders to manage dependencies, ensure resiliency and stability, and drive executive‑ready communication on progress, risks, and trade‑offs.

• 5+ years of experience or equivalent expertise in product management or a relevant domain area.
• 3+ years of owning complex data products or platforms where correctness, scale, and adoption are equally critical.
• Demonstrated track record of shipping production products end‑to‑end, including roadmap ownership, backlog management, and measurable outcomes; experience delivering operationally…