Principal Data Product Manager - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Data Product Manager based in United States.

This role offers the opportunity to define how data becomes a strategic product capability that powers innovation, customer experiences, and business growth. The Principal Data Product Manager will shape the vision, roadmap, and execution strategy for data-driven products, analytics, and AI-enabled solutions. You will work at the intersection of product management, technology, analytics, and business strategy to unlock the value of complex datasets. The position requires a strong product mindset, technical fluency, and the ability to translate data capabilities into meaningful customer outcomes. You will collaborate with engineering, analytics, and business teams to create scalable data platforms and intelligent experiences. This is a high-impact leadership role for a data-focused product expert who thrives in a fast-moving, innovative environment.

Accountabilities:

The Principal Data Product Manager will define and execute the strategy for data products, analytics capabilities, and AI-driven experiences. This role focuses on transforming data into scalable solutions that improve customer value, enable smarter decisions, and create competitive advantages.

• Define the long-term product vision and strategy for data as a core platform capability.
• Identify opportunities to improve customer experiences, products, and business outcomes through data-driven solutions.
• Build and manage roadmaps across data products, analytics, recommendations, automation, and AI capabilities.
• Establish scalable data capabilities that support multiple products and teams.
• Improve data accessibility, governance, discoverability, and consistency through shared frameworks and business definitions.
• Enable product teams to leverage trusted data assets instead of creating isolated solutions.
• Identify opportunities for customer-facing analytics, recommendations, and data-powered experiences.
• Define requirements for AI-enabled products, analytical tools, and workflow automation initiatives.
• Translate emerging technologies and data capabilities into measurable customer and business value.
• Partner with technical and business stakeholders to align priorities, investments, and execution plans.
• Ensure data initiatives contribute directly to customer outcomes, product differentiation, and growth opportunities.

Requirements: