Principal Data Product Manager

Position Overview

Pearson Virtual Schools (PVS) is seeking a Principal Product Manager to lead our Data Foundation program as a senior expert and key individual contributor. In this role, you will drive the vision and execution of a critical data platform modernization initiative by influencing cross‐functional teams across engineering, architecture, data science, and design. You will leverage deep technical acumen in data platforms and cloud architecture, while championing innovation – including the integration of generative AI into the software development lifecycle – to shape the future of PVS’s platform. This is a remote-friendly opportunity with working hours aligned to U.S. Eastern Time.

Key Responsibilities

• Develop and own the product strategy and multi-year roadmap for the Data Foundation program, aligning with overall platform modernization goals.
• Lead the modernization of PVS’s data architecture by implementing a unified, cloud-based data platform (leveraging AWS or similar) that replaces legacy systems and ensures scalable, real-time data access.
• Collaborate across software engineering, architecture, data science, UX/UI design, and business teams to drive product objectives and effective stakeholder engagement.
• Champion the use of generative AI and intelligent agents in the product development process to enhance development efficiency and improve user experiences.
• Oversee the project lifecycle—from defining product requirements and user stories to managing a prioritized backlog and ensuring on-time delivery of key milestones.
• Mentor and guide junior product managers, sharing expertise in technical product management and strategic innovation.

Required Qualifications

• 10+ years of product management experience with a focus on platform or technical product management, demonstrating increasing leadership responsibility.
• Deep knowledge of data architecture, including databases (relational and NoSQL), ETL/ELT pipelines, data warehousing/lakehouse concepts, and data governance best practices.
• Strong technical acumen with cloud platforms (AWS preferred) and modern software architecture such as microservices, APIs, and event-driven systems.
• Exceptional cross-functional leadership and communication skills to influence teams without direct managerial authority.
• Proven innovative mindset with an understanding of generative AI and its applications in product development.

Preferred Qualifications

• Experience in the education technology domain or other data-driven industries, with familiarity in education data standards (e.g., Ed-Fi, LTI) being a plus.
• Direct experience managing or integrating AI/ML product features, such as recommendation engines or predictive analytics.
• Relevant certifications (e.g., AWS Certified Cloud Practitioner/Architect, Certified Product Manager) and security or data privacy credentials.
• Experience leading initiatives in large-scale matrix organizations and an advanced degree (e.g., MBA) is advantageous.

Benefits & Perks

• Compensation: The minimum full-time salary range is between $155,000 - $195,000, influenced by skill set, experience, and location.
• Eligibility to participate in an annual incentive program.
• Remote work flexibility with preferred working hours aligned to U.S. Eastern Time.
• An inclusive environment where innovation, continuous improvement, and bold thinking are encouraged.