Product Manager, Platforms & Data
21 hours ago
Lincoln
Overview In this Product Manager role, you’ll own the strategy and delivery of product intelligence systems that deepen audience understanding and improve Crain’s digital experiences. You’ll collaborate across the organization to identify data, automation, or intelligence opportunities that enhance customer experiences and business outcomes. You’ll build internal capabilities to understand behavior, interests, and content performance, and you’ll develop personalization and recommendations at scale. You’ll work with engineering and data teams to improve data quality, governance, and accessibility, and you’ll leverage AI-enabled tooling to move faster from discovery to delivery. This is a chance to tie Pay / Benefitssalary range $90,000 to $130,000retirement plan savings contributionsbonus opportunities based on performancecompetitive benefits ResponsibilitiesOwn the strategy, roadmap, and delivery of product intelligence systemsCollaborate with stakeholders to identify data, automation, or intelligence improvements for customer experiences and outcomesBuild capabilities to understand customer behavior, audience interests, and content performanceDevelop personalization and recommendation systemsPartner with engineering and data teams to improve data quality, structure, governance, and accessibilitySupport systems to collect, store, enrich, and activate data for analytics, personalization, and decision-makingLead metadata, taxonomy, and content intelligence initiativesDevelop AI-powered tools and internal platforms to increase efficiencyImprove content management systems, publishing workflows, and editorial toolingIdentify opportunities to automate workflows and reduce manual effortUse research, analytics, experimentation, and feedback to inform decisionsDefine success metrics and measure impactManage products from discovery to launch and ongoing improvementCommunicate product vision and progress to stakeholders Key requirements3+ years of product management experience, preferably with data products, publishing platform, analytics systems, or audience decisioning enginesExperience with customer data platforms, behavioral data systems, personalization systems, or recommendation enginesComfort discussing APIs, data pipelines, integrations, and platform architectureExperience creating product requirements, workflows, wireframes, prototypes, or other artifactsHistory of partnering with engineering to deliver scalable productsStrong analytical skills and use of data, research, and experimentation for decisionsProven success leading cross-functional initiatives and driving outcomesStrong communication and stakeholder management skillsExperience working with multiple teams, priorities, and stakeholdersExperience using AI-powered tools to support discovery, research, requirements development, prototyping, or experimentationcommunicationstakeholder managementcross-functional collaborationdata productscustomer data platformsbehavioral data systems