Principal Data Product Manager

PayNearMe is on a mission to simplify payments through innovative technology. As a Principal Data Product Manager, you will define the strategy and roadmap for leveraging data to enhance products and customer experiences, driving insights and analytics across the platform.

Responsibilities:

• Define the long-term vision for data as a strategic product and platform capability
• Identify opportunities to improve products and customer experiences through data
• Prioritize investments across data products, insights, analytics, recommendations, and analytical AI capabilities
• Set roadmap priorities that keep data strategy aligned to business goals
• Define reusable data capabilities that scale across products and experiences
• Drive accessibility, governance, discoverability, and common business definitions for core data assets
• Establish a consistent approach for modeling, measuring, and exposing data across the platform
• Enable teams to build on shared data assets rather than one-off solutions
• Identify and prioritize opportunities for customer-facing insights, recommendations, and analytics experiences
• Embed data-driven capabilities into existing products
• Evaluate and pursue new data-driven product opportunities
• Own the roadmap for analytical AI capabilities that turn raw data into decisions
• Define the data, measurement, and product requirements behind AI-enabled experiences and workflow automation
• Shape how data improves decision-making, automation, and customer outcomes
• Translate emerging technology capabilities into real customer and business value

Requirements:

• 10+ years in Product Management, with substantial experience in data-intensive, platform, analytics, or AI-enabled products
• Track record defining, launching, and scaling products powered by data, analytics, recommendations, or machine learning
• Deep understanding of how data is collected, modeled, governed, measured, and exposed through products and platforms
• Command of the technical landscape across data engineering, analytics, machine learning, and software engineering
• Ability to translate complex data capabilities into simple, valuable customer experiences
• Experience defining product strategy in environments where data is a core competitive advantage
• Systems thinker who identifies reusable capabilities that benefit multiple products
• Comfortable navigating ambiguity and shaping new product categories
• Strong communication, influence, and executive stakeholder management skills
• Experience with data products, analytics platforms, recommendation systems, AI-powered experiences, or workflow automation
• Familiarity with modern data platforms and concepts such as semantic layers, governance, APIs, data sharing, and AI/ML ecosystems
• Experience in fintech, payments, or other data-rich, regulated industries