Product Manager 2 - Insights Delivery, Merchandising

Own the Insights Delivery Merchandising roadmap, including platform migrations, new data onboarding, and business intelligence support Build cross-functional relationships across business, technology, UX, and data science teams Evangelize product vision and influence strategic roadmap decisions within the data and AI platform domain Conduct customer research and analyze market trends, competitor products, and emerging AI technologies Break down roadmaps into releasable features and prioritize and sequence features Write user stories and acceptance criteria within the data platform domain, including AI and machine learning features Collaborate with engineering to balance customer value, technical effort, and complexity Develop measurement plans and iterate on product decisions using data and learnings Partner with engineering, UX, and data analytics teams to deliver value through data platform features Design testing strategies and measure the impact of AI-driven insights and automation Develop detailed feature plans and coordinate across squads and functional areas Contribute to product vision and align short-term plans with success metrics and product value Requirements Proven ability to prioritize features based on customer impact and data-driven insights Experience breaking down roadmaps into releasable features, writing user stories with acceptance criteria, and managing product backlogs Ability to balance scope, resources, and timelines to maximize product development impact Ability to collaborate across business, technology, UX, and data science teams Ability to conduct customer research and market analysis Test-and-learn mindset using measurement plans and telemetry Strong understanding of data engineering concepts, including data warehousing, data management, and data analysis Proficiency in SQL and analytical thinking Exposure to machine learning concepts and applications Familiarity with cloud data platforms and services such as GCP, BigQuery, Looker, Dataplex, Dataproc, Pub/Sub, Databricks,

AWS S3

, Data Lake, Redshift, or Microsoft Fabric Ability to analyze data processes and identify opportunities for improved accessibility and AI-driven enhancements Technical aptitude and willingness to learn software development principles, A/B testing methodologies, and machine learning model integration 2+ years of experience in product management, technology, or a related field Bachelor’s degree in engineering, Information Technology, Computer Science, Data Science, or equivalent experience Strong interpersonal, oral, and written communication skills Experience coordinating cross-functional efforts and influencing stakeholders on product strategy and roadmap decisions Core Competencies Demonstrates expertise in product management with a strong focus on data-driven decision-making, feature prioritization, and cross-functional collaboration. Proficient in SQL and familiar with cloud data platforms, machine learning concepts, and data engineering principles. Highest-signal resume keywords Product Management SQL Proficiency Data Engineering Concepts Cross-Functional Collaboration Machine Learning Exposure ATS Optimization Keywords Hard Skills Feature Prioritization User Story Writing Data Analysis Data Management Data Warehousing Market Analysis Measurement Plans A/B Testing Methodologies Technical Aptitude Analytical Thinking Soft Skills Interpersonal Communication Oral Communication Written Communication Industry Keywords Insights Delivery Merchandising Roadmap AI Technologies Customer Research Product Strategy Data Platform Telemetries Product Backlog Management Stakeholder Influence Cross-Functional Coordination Tools & Technologies GCP BigQuery Looker Dataplex Dataproc Pub/Sub Databricks AWS S3 Data Lake Redshift #J-18808-Ljbffr Jobtailor