Pearson
Overview
Principal Technology Product Manager – Data Foundation. Location: U.S. Remote. Remote-friendly role with a preference for working hours aligned with U.S. Eastern Time. This role leads the Data Foundation program as a senior expert and individual contributor, driving vision and execution for a critical platform modernization initiative. The ideal candidate blends strong technical acumen in data platforms and cloud architecture with top-tier product management skills, with a focus on innovation in the software development lifecycle and AI-enabled enhancements. Compensation information is found in the job post: base pay range $155,000.00/yr - $195,000.00/yr. Responsibilities
Strategic Vision & Roadmaps:
Develop and own the product strategy and multi-year roadmap for the Data Foundation program, ensuring alignment with platform modernization goals. Define phased milestones and communicate the vision to stakeholders and team members. Data Platform Leadership:
Modernize PVS data architecture and infrastructure. Drive a unified, cloud-based data platform, replace legacy systems, establish single sources of truth for key data domains, and provide scalable, real-time data access via APIs. Embed data governance, privacy, and quality standards from the outset. Cross-Functional Leadership:
Lead cross-functional teams (engineering, architecture, data science, UX/UI, business stakeholders) by influence, without direct managerial authority, to drive decisions and align on objectives and timelines. Product Development Lifecycle Innovation:
Introduce generative AI and agent-driven tools to improve requirements gathering, coding, testing, and analytics. Explore AI-powered insights or personalization within the platform to enhance user experience. Execution & Delivery:
Oversee end-to-end execution from concept to launch and iteration. Write PRDs, define user stories and acceptance criteria with Agile teams, and maintain a groomed backlog. Prioritize features by impact, value, and effort; ensure on-time delivery of milestones. Stakeholder Engagement:
Collaborate with internal stakeholders and executives. Communicate progress, challenges, and next steps; advocate for the customer and business needs to drive improvements in user experience, operations, and platform capabilities. Technical Depth & Decision-Making:
Use your technical background to inform product decisions. Understand cloud data pipelines, databases, and modern data architectures; evaluate AWS services and data models aligned with industry standards (e.g., Ed-Fi for education data). Innovation & Continuous Improvement:
Stay current with data platforms, analytics, and AI/ML trends. Pilot innovative approaches (e.g., event-driven architectures, AI agents) and scale successful experiments into features. Measurement & Accountability:
Define KPIs and success metrics (data availability, performance, API adoption). Use data to inform decisions and demonstrate program value. Mentoring and Leadership (Individual Contributor):
Mentor junior product managers and product owners; share expertise across the product organization and foster best practices in technical product management and AI adoption. Required Qualifications
Experience: 10+ years in product management with substantial work in platform or technical product management; track record of end-to-end large-scale initiatives, ideally including data platform or infrastructure projects. Identity/access management experience is a plus. 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. Education data experience is a plus. Technical Acumen: Comfortable discussing complex designs with architects and engineers. Hands-on experience with cloud platforms (AWS preferred) and modern architectures (microservices, APIs, event-driven systems). Understanding of AI/ML concepts and their application in products. Leadership & Collaboration: Excellent cross-functional leadership and stakeholder management. Ability to influence teams that do not report to you. Experience in Agile/Scrum, backlog prioritization, and sprint planning. Innovation Mindset: Demonstrated interest in cutting-edge technologies, especially generative AI 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. AI/ML Projects: Experience delivering AI-enabled product features or integrating AI into PM processes. Cloud & Security Certifications: Relevant certifications (e.g., AWS Certified) and data privacy/security knowledge are appreciated given sensitive student data. Leadership in Matrix Organizations: Experience influencing senior leadership across multiple teams in a large matrix organization. Advanced Education: MBA or related field; technical master’s degree is a plus. Work Environment
Location: Remote-friendly with preference for overlap with U.S. Eastern Time. Occasional travel may be required for team on-sites or stakeholder meetings. Applications will be accepted through November 7, 2025, with the window potentially extending depending on business needs. Company & Compliance
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Reasonable accommodations are available upon request at TalentExperienceGlobalTeam@grp.pearson.com.
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Principal Technology Product Manager – Data Foundation. Location: U.S. Remote. Remote-friendly role with a preference for working hours aligned with U.S. Eastern Time. This role leads the Data Foundation program as a senior expert and individual contributor, driving vision and execution for a critical platform modernization initiative. The ideal candidate blends strong technical acumen in data platforms and cloud architecture with top-tier product management skills, with a focus on innovation in the software development lifecycle and AI-enabled enhancements. Compensation information is found in the job post: base pay range $155,000.00/yr - $195,000.00/yr. Responsibilities
Strategic Vision & Roadmaps:
Develop and own the product strategy and multi-year roadmap for the Data Foundation program, ensuring alignment with platform modernization goals. Define phased milestones and communicate the vision to stakeholders and team members. Data Platform Leadership:
Modernize PVS data architecture and infrastructure. Drive a unified, cloud-based data platform, replace legacy systems, establish single sources of truth for key data domains, and provide scalable, real-time data access via APIs. Embed data governance, privacy, and quality standards from the outset. Cross-Functional Leadership:
Lead cross-functional teams (engineering, architecture, data science, UX/UI, business stakeholders) by influence, without direct managerial authority, to drive decisions and align on objectives and timelines. Product Development Lifecycle Innovation:
Introduce generative AI and agent-driven tools to improve requirements gathering, coding, testing, and analytics. Explore AI-powered insights or personalization within the platform to enhance user experience. Execution & Delivery:
Oversee end-to-end execution from concept to launch and iteration. Write PRDs, define user stories and acceptance criteria with Agile teams, and maintain a groomed backlog. Prioritize features by impact, value, and effort; ensure on-time delivery of milestones. Stakeholder Engagement:
Collaborate with internal stakeholders and executives. Communicate progress, challenges, and next steps; advocate for the customer and business needs to drive improvements in user experience, operations, and platform capabilities. Technical Depth & Decision-Making:
Use your technical background to inform product decisions. Understand cloud data pipelines, databases, and modern data architectures; evaluate AWS services and data models aligned with industry standards (e.g., Ed-Fi for education data). Innovation & Continuous Improvement:
Stay current with data platforms, analytics, and AI/ML trends. Pilot innovative approaches (e.g., event-driven architectures, AI agents) and scale successful experiments into features. Measurement & Accountability:
Define KPIs and success metrics (data availability, performance, API adoption). Use data to inform decisions and demonstrate program value. Mentoring and Leadership (Individual Contributor):
Mentor junior product managers and product owners; share expertise across the product organization and foster best practices in technical product management and AI adoption. Required Qualifications
Experience: 10+ years in product management with substantial work in platform or technical product management; track record of end-to-end large-scale initiatives, ideally including data platform or infrastructure projects. Identity/access management experience is a plus. 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. Education data experience is a plus. Technical Acumen: Comfortable discussing complex designs with architects and engineers. Hands-on experience with cloud platforms (AWS preferred) and modern architectures (microservices, APIs, event-driven systems). Understanding of AI/ML concepts and their application in products. Leadership & Collaboration: Excellent cross-functional leadership and stakeholder management. Ability to influence teams that do not report to you. Experience in Agile/Scrum, backlog prioritization, and sprint planning. Innovation Mindset: Demonstrated interest in cutting-edge technologies, especially generative AI 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. AI/ML Projects: Experience delivering AI-enabled product features or integrating AI into PM processes. Cloud & Security Certifications: Relevant certifications (e.g., AWS Certified) and data privacy/security knowledge are appreciated given sensitive student data. Leadership in Matrix Organizations: Experience influencing senior leadership across multiple teams in a large matrix organization. Advanced Education: MBA or related field; technical master’s degree is a plus. Work Environment
Location: Remote-friendly with preference for overlap with U.S. Eastern Time. Occasional travel may be required for team on-sites or stakeholder meetings. Applications will be accepted through November 7, 2025, with the window potentially extending depending on business needs. Company & Compliance
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Reasonable accommodations are available upon request at TalentExperienceGlobalTeam@grp.pearson.com.
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