Product Manager, Personalization Platforms

Role Overview

• Own Platform Strategy and Roadmap
• Define the multi-year vision and incremental roadmaps for personalization and customer data activation platforms, aligned to business goals across global marketing, lines of business, and commercial teams
• 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
• Own end-to-end backlog management with well-scoped, development-ready initiatives
• Write unambiguous requirements and user stories with acceptance criteria that minimize rework and scope creep, using AI tools to accelerate authorship while maintaining quality
• 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
• Define how data flows from source systems (CRM, ERP, data warehouse, in-clinic IoT data) into personalization activation
• Partner with data analysts, architects, and engineers to specify the unified customer profile required for real-time, dynamic segmentation
• Address data quality dependencies (duplicate, incomplete, and mismatched contact records; consent gaps) that personalization depends on, in coordination with CRM and consent management workstreams
• 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
• Manage Delivery Through Agile Partnership
• 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)

Requirements

• 4-6 plus relevant experience in product management/ownership
• Enterprise personalization platform expertise, for example Salesforce Marketing Cloud Personalization, Adobe Target, Dynamic Yield, or Optimizely
• Working understanding of customer data platforms, for example Salesforce Data Cloud, Segment, Tealium, or Treasure Data
• Strong grasp of B2B data models, including how account-level and individual-level data combine to drive personalized experiences
• Strong business case and ROI analysis skills
• Agile product management experience, including direct authorship of requirements and user stories with acceptance criteria
• Comfort using AI tools to accelerate product management work without sacrificing rigor
• Ability to lead through influence in a cross-functional, matrixed organization
• Experience coordinating across multiple lines of business with shared customer audiences

Tech Stack

• Cloud
• ERP
• IoT

Benefits

• Competitive compensation
• Incentives
• Benefits