Pearson
Location: U.S Remote
Overview
Pearson Virtual Schools (PVS) is seeking a
Principal Product Manager
to lead our
Data Foundation
program as a senior expert, serving as a key individual contributor. This role is for an experienced, high-impact professional with deep expertise and strategic influence. You will drive the vision and execution of a critical platform modernization initiative (Data Foundation) without direct reports, leading cross-functional teams by influence across engineering, architecture, data science, and design. You will blend strong technical acumen in data platforms and cloud architecture with top-tier product management skills to deliver forward-looking milestones on the program’s roadmap. The ideal candidate is also passionate about innovation in the software development lifecycle, leveraging generative AI and intelligent agents to enhance product development and user experiences. This is a remote-friendly role (with a preference for working hours that align with U.S. Eastern Time) and offers the opportunity to shape the future of PVS’s platform at a strategic level. Responsibilities
Strategic Vision & Roadmaps: Develop and own the product strategy and multi-year roadmap for the Data Foundation program, ensuring it aligns with PVS’s overall platform modernization goals. Define phased milestones and outcomes, and communicate a compelling vision to stakeholders and team members. Data Platform Leadership: Lead the Data Foundation program to modernize PVS’s data architecture and infrastructure. Drive the implementation of a unified, cloud-based data platform (leveraging AWS or similar) that replaces legacy systems, establishes single sources of truth for key data domains, and provides scalable, real-time data access via APIs. Ensure data governance, privacy, and quality standards are built into the platform from the ground up. Cross-Functional Leadership: Serve as the product lead at the top of the SDLC for this initiative—coordinate and inspire cross-functional teams of software engineers, architects, data scientists, UX/UI designers, and business stakeholders. Without direct managerial authority, exercise influence and thought leadership to drive decision-making, resolve conflicts, and keep everyone aligned on product objectives and timelines. Product Development Lifecycle Innovation: Introduce and champion the use of generative AI and agent-driven tools in the product development process. Explore how AI can automate parts of requirements gathering, coding, testing, or analytics; investigate opportunities to integrate generative AI into the products themselves (such as AI-driven insights or personalization within the PVS platform) in support of a cutting-edge user experience. Execution & Delivery: Oversee end-to-end execution of product initiatives, from concept through launch and iteration. Write clear product requirements (PRDs), define user stories and acceptance criteria with Agile teams, and maintain a well-groomed backlog for Data Foundation workstreams. Prioritize features by balancing strategic impact, user value, and development effort. Ensure on-time delivery of key roadmap milestones, adjusting plans as needed based on feedback and changing requirements. Stakeholder Engagement: Collaborate with internal stakeholders—including other Product Vertical leaders, Program/Project Managers, and executives—to ensure the Data Foundation program meets the needs of various learning products and operational teams. Communicate program progress, challenges, and next steps through presentations and reports. Act as the voice of the customer and the business, ensuring delivered capabilities drive tangible improvements in user experience, operational efficiency, and platform capabilities. Technical Depth & Decision-Making: Use your strong technical background to make informed product decisions. Understand the complexities of cloud data pipelines, database technologies, and modern data architectures well enough to trade off approaches with architects and engineers. Ensure architectural choices support the product vision (e.g., selecting appropriate AWS services, designing for scalability and resilience, aligning data models with industry standards like Ed-Fi for education data). Innovation & Continuous Improvement: Stay abreast of industry trends in data platforms, analytics, and AI/ML. Identify opportunities to incorporate new technologies or practices (e.g., event-driven data architectures, graph databases for relationship data, or advanced analytics/ML on educational data). Foster a culture of innovation and experimentation within the team and pilot AI agents that assist with monitoring data quality, scaling successful experiments into full features. Measurement & Accountability: Define KPIs and success metrics for the Data Foundation program. Track data availability/reliability, performance improvements, and adoption of new data APIs by other teams; use data to inform product decisions and demonstrate program value. Mentoring and Leadership (Individual Contributor Role): Although there are no direct reports, mentor and guide junior product managers and product owners within the team, share expertise across the product management organization, and foster best practices in technical product management and AI adoption within the SDLC. Required Qualifications
Experience: 10+ years of product management experience, with a significant portion in platform or technical product management roles. Proven track record driving large-scale initiatives end-to-end—ideally including data platform or infrastructure projects. Identity and access management experience is a plus but not required. Demonstrated increasing responsibility and leadership influence (principal or lead PM level). Domain Expertise: Strong knowledge of data architecture and management. Familiarity with relational and NoSQL databases, data warehousing or lakehouse concepts, ETL/ELT pipelines, and data governance best practices. Understanding of data privacy regulations for handling sensitive information (education data experience is a plus). Technical Acumen: Comfortable discussing and understanding complex technical designs with architects and engineers. Hands-on experience with cloud platforms (AWS preferred) and modern software architecture (microservices, APIs, event-driven systems). Ability to grasp AI/ML concepts and their product applications; you don’t need to be a data scientist, but should understand how AI technologies can solve product problems. Leadership & Collaboration: Exceptional cross-functional leadership skills. Able to lead by influence and inspire teams without direct reporting lines. Excellent communication and stakeholder management abilities and experience in Agile/Scrum environments with engineering collaboration on user stories, backlog prioritization, and sprint planning. Innovation Mindset: Demonstrated interest or experience in cutting-edge technologies, especially generative AI, automation, and intelligent agents. Track record of driving innovation and continuous learning. Preferred Qualifications
EdTech and Data Standards: Experience in education technology or data-driven industries. Familiarity with education data standards (e.g., Ed-Fi, LTI) or student information systems is a strong plus. Understanding K-12 operations and online learning platforms informs better product decisions in PVS’s context. AI/ML Projects: Direct experience with AI/ML product features or incorporating AI into product management processes. Cloud & Security Certifications: Relevant certifications (e.g., AWS Certified Cloud Practitioner/Architect). Security or data privacy certifications (CIPP, CISSP) are appreciated given the sensitivity of student data. Leadership in Matrix Organizations: Experience influencing senior leadership across multiple teams in large organizations. Advanced Education: Master’s degree in Business Administration, Information Systems, or related field; MBA or technical master’s is a plus. Work Environment
Location: Remote-friendly with preferred hours aligned to U.S. Eastern Time. Occasional travel may be needed for on-sites or stakeholder meetings. All other details are described in the posting. Cross-Functional Collaboration: Expect collaboration across PVS and Pearson with regular video conferences and virtual whiteboarding; strong self-management and virtual communication skills are important. Culture: Pearson Virtual Schools promotes an innovative, inclusive culture. Senior experts shape product direction with autonomy and support from a network of colleagues. The environment encourages experimentation with new ideas (including AI in the SDLC) in a safe-to-fail setting as we advance online education. If you’re excited about
building the data backbone
of a next-generation online learning platform and you thrive at the intersection of technology innovation and product strategy, apply. Join us in transforming learning through cutting-edge platforms and be a key architect of PVS’s future! Compensation
at Pearson is influenced by many factors including skill set, experience, and location. The pay range for this position is: The minimum full-time salary range is between $155,000 - $195,000. This position is eligible to participate in an annual incentive program. Applications will be accepted through November 7th, 2025. Who We Are At Pearson, our purpose is simple: to help people realize the life they imagine through learning. Pearson is an Equal Opportunity Employer and a member of E-Verify. We are committed to a diverse and inclusive workforce. Reasonable accommodations are available for applicants with disabilities. For accommodations, contact TalentExperienceGlobalTeam@grp.pearson.com. Job : Product Management •
Job Family : PRODUCT •
Organization : Virtual Learning •
Schedule : FULL_TIME •
Workplace Type : Remote •
Req ID : 21429
#J-18808-Ljbffr
Pearson Virtual Schools (PVS) is seeking a
Principal Product Manager
to lead our
Data Foundation
program as a senior expert, serving as a key individual contributor. This role is for an experienced, high-impact professional with deep expertise and strategic influence. You will drive the vision and execution of a critical platform modernization initiative (Data Foundation) without direct reports, leading cross-functional teams by influence across engineering, architecture, data science, and design. You will blend strong technical acumen in data platforms and cloud architecture with top-tier product management skills to deliver forward-looking milestones on the program’s roadmap. The ideal candidate is also passionate about innovation in the software development lifecycle, leveraging generative AI and intelligent agents to enhance product development and user experiences. This is a remote-friendly role (with a preference for working hours that align with U.S. Eastern Time) and offers the opportunity to shape the future of PVS’s platform at a strategic level. Responsibilities
Strategic Vision & Roadmaps: Develop and own the product strategy and multi-year roadmap for the Data Foundation program, ensuring it aligns with PVS’s overall platform modernization goals. Define phased milestones and outcomes, and communicate a compelling vision to stakeholders and team members. Data Platform Leadership: Lead the Data Foundation program to modernize PVS’s data architecture and infrastructure. Drive the implementation of a unified, cloud-based data platform (leveraging AWS or similar) that replaces legacy systems, establishes single sources of truth for key data domains, and provides scalable, real-time data access via APIs. Ensure data governance, privacy, and quality standards are built into the platform from the ground up. Cross-Functional Leadership: Serve as the product lead at the top of the SDLC for this initiative—coordinate and inspire cross-functional teams of software engineers, architects, data scientists, UX/UI designers, and business stakeholders. Without direct managerial authority, exercise influence and thought leadership to drive decision-making, resolve conflicts, and keep everyone aligned on product objectives and timelines. Product Development Lifecycle Innovation: Introduce and champion the use of generative AI and agent-driven tools in the product development process. Explore how AI can automate parts of requirements gathering, coding, testing, or analytics; investigate opportunities to integrate generative AI into the products themselves (such as AI-driven insights or personalization within the PVS platform) in support of a cutting-edge user experience. Execution & Delivery: Oversee end-to-end execution of product initiatives, from concept through launch and iteration. Write clear product requirements (PRDs), define user stories and acceptance criteria with Agile teams, and maintain a well-groomed backlog for Data Foundation workstreams. Prioritize features by balancing strategic impact, user value, and development effort. Ensure on-time delivery of key roadmap milestones, adjusting plans as needed based on feedback and changing requirements. Stakeholder Engagement: Collaborate with internal stakeholders—including other Product Vertical leaders, Program/Project Managers, and executives—to ensure the Data Foundation program meets the needs of various learning products and operational teams. Communicate program progress, challenges, and next steps through presentations and reports. Act as the voice of the customer and the business, ensuring delivered capabilities drive tangible improvements in user experience, operational efficiency, and platform capabilities. Technical Depth & Decision-Making: Use your strong technical background to make informed product decisions. Understand the complexities of cloud data pipelines, database technologies, and modern data architectures well enough to trade off approaches with architects and engineers. Ensure architectural choices support the product vision (e.g., selecting appropriate AWS services, designing for scalability and resilience, aligning data models with industry standards like Ed-Fi for education data). Innovation & Continuous Improvement: Stay abreast of industry trends in data platforms, analytics, and AI/ML. Identify opportunities to incorporate new technologies or practices (e.g., event-driven data architectures, graph databases for relationship data, or advanced analytics/ML on educational data). Foster a culture of innovation and experimentation within the team and pilot AI agents that assist with monitoring data quality, scaling successful experiments into full features. Measurement & Accountability: Define KPIs and success metrics for the Data Foundation program. Track data availability/reliability, performance improvements, and adoption of new data APIs by other teams; use data to inform product decisions and demonstrate program value. Mentoring and Leadership (Individual Contributor Role): Although there are no direct reports, mentor and guide junior product managers and product owners within the team, share expertise across the product management organization, and foster best practices in technical product management and AI adoption within the SDLC. Required Qualifications
Experience: 10+ years of product management experience, with a significant portion in platform or technical product management roles. Proven track record driving large-scale initiatives end-to-end—ideally including data platform or infrastructure projects. Identity and access management experience is a plus but not required. Demonstrated increasing responsibility and leadership influence (principal or lead PM level). Domain Expertise: Strong knowledge of data architecture and management. Familiarity with relational and NoSQL databases, data warehousing or lakehouse concepts, ETL/ELT pipelines, and data governance best practices. Understanding of data privacy regulations for handling sensitive information (education data experience is a plus). Technical Acumen: Comfortable discussing and understanding complex technical designs with architects and engineers. Hands-on experience with cloud platforms (AWS preferred) and modern software architecture (microservices, APIs, event-driven systems). Ability to grasp AI/ML concepts and their product applications; you don’t need to be a data scientist, but should understand how AI technologies can solve product problems. Leadership & Collaboration: Exceptional cross-functional leadership skills. Able to lead by influence and inspire teams without direct reporting lines. Excellent communication and stakeholder management abilities and experience in Agile/Scrum environments with engineering collaboration on user stories, backlog prioritization, and sprint planning. Innovation Mindset: Demonstrated interest or experience in cutting-edge technologies, especially generative AI, automation, and intelligent agents. Track record of driving innovation and continuous learning. Preferred Qualifications
EdTech and Data Standards: Experience in education technology or data-driven industries. Familiarity with education data standards (e.g., Ed-Fi, LTI) or student information systems is a strong plus. Understanding K-12 operations and online learning platforms informs better product decisions in PVS’s context. AI/ML Projects: Direct experience with AI/ML product features or incorporating AI into product management processes. Cloud & Security Certifications: Relevant certifications (e.g., AWS Certified Cloud Practitioner/Architect). Security or data privacy certifications (CIPP, CISSP) are appreciated given the sensitivity of student data. Leadership in Matrix Organizations: Experience influencing senior leadership across multiple teams in large organizations. Advanced Education: Master’s degree in Business Administration, Information Systems, or related field; MBA or technical master’s is a plus. Work Environment
Location: Remote-friendly with preferred hours aligned to U.S. Eastern Time. Occasional travel may be needed for on-sites or stakeholder meetings. All other details are described in the posting. Cross-Functional Collaboration: Expect collaboration across PVS and Pearson with regular video conferences and virtual whiteboarding; strong self-management and virtual communication skills are important. Culture: Pearson Virtual Schools promotes an innovative, inclusive culture. Senior experts shape product direction with autonomy and support from a network of colleagues. The environment encourages experimentation with new ideas (including AI in the SDLC) in a safe-to-fail setting as we advance online education. If you’re excited about
building the data backbone
of a next-generation online learning platform and you thrive at the intersection of technology innovation and product strategy, apply. Join us in transforming learning through cutting-edge platforms and be a key architect of PVS’s future! Compensation
at Pearson is influenced by many factors including skill set, experience, and location. The pay range for this position is: The minimum full-time salary range is between $155,000 - $195,000. This position is eligible to participate in an annual incentive program. Applications will be accepted through November 7th, 2025. Who We Are At Pearson, our purpose is simple: to help people realize the life they imagine through learning. Pearson is an Equal Opportunity Employer and a member of E-Verify. We are committed to a diverse and inclusive workforce. Reasonable accommodations are available for applicants with disabilities. For accommodations, contact TalentExperienceGlobalTeam@grp.pearson.com. Job : Product Management •
Job Family : PRODUCT •
Organization : Virtual Learning •
Schedule : FULL_TIME •
Workplace Type : Remote •
Req ID : 21429
#J-18808-Ljbffr