Product Manager, Personalization Platforms

Responsibilities

• Build investment cases for personalization and data unification capabilities, with clear ROI, revenue impact, and priority justification.
• Define how account-level signals and individual-level behavior come together into a unified, real-time personalization model.
• Define and Prioritize Development Backlog Own end-to-end backlog management with well-scoped, development-ready initiatives. Write unambiguous
• Facilitate stakeholder prioritization across lines of business and make trade-offs transparent, particularly where personalization rules need to coordinate across competing campaigns to the same account.
• Lead Cross-Platform Data Activation Define how data flows from source systems (CRM, ERP, data warehouse, in-clinic IoT data) into personalization activation.
• Address data quality dependencies (duplicate, incomplete, and mismatched contact records; consent gaps) that personalization depends on, in coordination with CRM and consent management workstreams.
• Align Cross-Platform Dependencies Coordinate with the Product Manager for marketing engagement platforms on triggered email flows where on-site behavior initiates outbound email.
• Coordinate with the Product Manager for enterprise website platforms on the website surfaces where personalized experiences are delivered, including CMS, analytics, and optimization integration xpoints.
• Coordinate with product owners for B2B eCommerce, LMS, customer portals, and CRM on integration strategies and roadmaps.
• Deliver concise status updates on risks, dependencies, and business impact to leadership.
• Manage Delivery Through Agile Partnership Partner with the ring-fenced IT delivery team to deliver against the personalization roadmap.
• Drive sprint performance, proactively remove blockers, and maintain development momentum.
• Establish KPIs that track delivery velocity, platform adoption across lines of business, and measurable business impact (engagement, conversion, retention).
• Drive Platform Evolution and Emerging Capabilities Identify and evaluate AI use cases for personalization, including dynamic content generation, predictive segmentation, and next-best-action recommendations.
• Build business cases for AI pilots that demonstrate clear ROI and alignment with digital marketing strategy.
• Guide stakeholders in understanding practical AI applications within the personalization stack.