Vice President, Product Manager - Client 360 World Model & Ontology

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in C360 - World Model, you will be the hands-on owner of the World Model as a product — accountable for its structure, coherence, quality, and direction — delivering not by running a large team, but by coordinating the specialists who own each domain and the engineers who build the platform beneath it. The World Model is the governed knowledge layer beneath that view: a version-controlled library of definitions — the entities C360 recognises, their properties, relationships, and data lineage — maintained as structured content, published to an interactive web application, and consumed directly by C360's production AI assistants through a subscription model. In short, it is the shared vocabulary that keeps every team, dataset, and AI agent describing the client the same way.

Develops a product strategy and product vision that delivers value to customers Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability Own and maintain the enterprise data model, ensuring consistency, accuracy, and alignment across core client entities, including client identity, hierarchies, coverage roles, revenue metrics, and relationship measures. Resolve overlaps, conflicts, and gaps to deliver a unified product experience. Govern the change management process for the data model by managing a streamlined approval workflow, coordinating reviews, securing domain-owner sign-off, validating source references, and driving timely publication of approved updates. Establish and enforce data quality standards, reference integrity requirements, and content governance practices that support AI-enabled experiences. Partner with engineering teams to automate quality controls and embed validation checks into development and deployment pipelines. Manage and communicate the data consumption contract for AI assistants and downstream consumers, ensuring subscription accuracy, maintaining compatibility, and proactively coordinating breaking changes and release communications. Define and execute a focused roadmap for the data model product, prioritizing high-impact initiatives, balancing delivery against available capacity, and appropriately deferring or delegating lower-priority work. Collaborate across business and domain teams to align requirements, drive cross-functional decision-making, and escalate complex or disputed issues through established governance forums when necessary. Monitor and report on model health and operational performance through a consistent set of metrics, including data currency, reference integrity, backlog management, publication turnaround times, and subscription health. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in product management or a relevant domain area Advanced knowledge of the product development life cycle, design, and data analytics Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management Product management or product ownership experience for a platform, data, or developer-facing product used by other teams — and comfort being its single, hands-on owner. A strong grasp of taxonomy, ontology, or data-model design: defining entities, relationships, and controlled vocabularies and keeping them consistent as they grow. Experience running a