Product Manager, Digital Activity Data Product

John Deere is a leading company focused on addressing global challenges related to food, fiber, and infrastructure. The Product Manager for Digital Activity Data Product will leverage digital behavioral patterns to enhance customer engagement and drive digital utilization through data aggregation and insights.

Responsibilities:

• Lead product discovery and definition by collaborating with internal stakeholders and data providers to understand needs and integration points
• Collaborate with engineering and data science teams to create production-class features that aggregate and synthesize data from multiple sources
• Leverage your expertise in behavioral data to craft tailored data views supporting engagement analysis, campaign effectiveness, digital advertising, sales attribution, and more
• Participate as domain expert within the larger Customer Insights Data Product Family to enhance digital activity’s presence in the customer intelligence community
• Collaborate on a metric and digital segmentation framework which drives digital active user growth
• Coach descriptive analysts and data scientists on the data’s potential and maintain strong documentation on accurate use

Requirements:

• 5 or more years of experience in mining digital behavioral data for insights and personalization efforts
• 3 or more years of experience building products with significant data engineering or data science complexities
• 3 or more years of experience defining and executing digital lifecycle metrics (retention, churn, etc) in support of digital account utilization
• 3 or more years of experience in product management disciplines
• Demonstrated ability communicating to a diverse stakeholder group conveying complex concepts in simple customer-centric ways
• Proven emotional and technical knowledge to achieve results in partnership with experts in engineering, architecture, analysis, data science, and application/MarTech management
• Basic SQL skills to independently explore data
• Conceptual fluency with Data as a Product, Databricks, and data taxonomy practices
• A wide range of digital behavioral experiences that include attribution modeling, churn models, effective reclamation definitions, personalization qualification logic
• Experience crafting and advancing a strategy in a complex organization
• Advanced skill-level in data and analytics tools, languages, and statistical methodologies
• Authoritative domain expertise over your data product and have a constant pulse on metric and insight discovery
• A passion for the customer's digital experience and its impact on lifecycle satisfaction and retention