Vice President, Data Products & Personalization

What you'll do

• Translate the personalization vision into a product roadmap and delivery plan that provides measurable customer value.
• Lead end-to-end product management for complex data integrations across platforms, source systems, APIs, and downstream consumers.
• Define integration requirements and agree on data contracts including schemas, keys, freshness, latency, and ownership.
• Own and maintain the product backlog by translating strategic objectives into actionable capabilities and workstreams.
• Identify risks, gaps, and dependencies across multiple interconnected data workstreams to ensure accountability.
• Define how data capabilities can be made accessible and reusable for personalized experiences and AI-enabled use cases.
• Drive product discovery to translate customer, business, and technology needs into scalable product solutions.
• Build frameworks and track key success metrics including adoption, reliability, scalability, and customer value.

What we're looking for

• 5+ years of experience in product management, data products, technical product management, platform products, or a relevant domain.
• Demonstrated experience managing data products, system integrations, APIs, or platform capabilities.
• Advanced understanding of the product development life cycle, including discovery, requirements definition, roadmap development, and delivery.
• Proven ability to lead complex, cross-functional initiatives spanning multiple technical teams, products, platforms, or data sources.
• Strong technical fluency with APIs, event streaming (e.g., Kafka), and integration patterns across real-time and batch systems.
• Ability to translate complex technical concepts into clear product strategy, customer value, and business outcomes.
• Strong communication and stakeholder-management skills with the ability to influence across product, engineering, data, and business organizations.
• Experience developing data products for personalization, customer intelligence, or AI-enabled experiences (preferred).