Senior IAM Product Manager Job at Pearson, Little Rock, AR

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  • Pearson
  • Little Rock, AR

Job Description

Overview Senior IAM Product Manager role at Pearson. Location: U.S. - Remote. This remote-friendly position shapes the Identity & Access Management program as a domain expert and key individual contributor. Pearson Virtual Schools (PVS) is seeking a Senior Product Manager to lead our Identity & Access Management program with deep expertise in enterprise identity solutions, driving the vision and execution of a platform modernization initiative. The ideal candidate blends strong technical acumen in identity management and cloud architecture with top-tier product management skills to deliver milestones on the program’s roadmap. The role emphasizes innovation in the software development lifecycle, including 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 aligned to U.S. Eastern Time. Responsibilities and qualifications below reflect the role’s focus on building the identity backbone for a next-generation online learning platform. Responsibilities Strategic Vision & Roadmaps: Develop and own the product strategy and multi-year roadmap for the PVS Identity & Access Management (IAM) program, aligning with platform modernization goals. Define phased milestones and outcomes and communicate a compelling vision to stakeholders and teams. Identity & Access Management: Guide the IAM program to build a next-generation identity and access management solution for PVS. Oversee the development of a unified identity service for all user types (students, caretakers, teachers, administrators), implementing modern authentication/authorization protocols (OAuth 2.0/OIDC, SAML, etc.), single sign-on (SSO), and robust user lifecycle management. Emphasize security, privacy, user experience, and compliance (e.g., FERPA, GDPR). Cross-Functional Leadership: Lead cross-functional teams including software engineers, architects, security specialists, UX/UI designers, and business stakeholders. Influence and provide thought leadership to drive decisions and align objectives and timelines without direct managerial authority. Product Development Lifecycle Innovation: Champion the use of generative AI and agent-driven tools in product development. Explore how AI can assist in discovery, market research, requirements gathering, coding, testing, and analytics to improve efficiency and quality. Execution & Delivery: Oversee end-to-end execution from concept through launch and iteration. Write roadmaps and PRDs, define features and acceptance criteria with Agile teams, and maintain a well-groomed backlog. Prioritize features by strategic impact, user value, and effort; ensure on-time delivery of milestones and adapt plans based on feedback. Stakeholder Engagement: Collaborate with Product Vertical leaders, Program/Project Managers, and executives to meet the needs of learning products and operational teams. Communicate progress, challenges, and next steps; act as the voice of the customer and business to drive improvements in user experience, operational efficiency, and platform capabilities. Technical Depth & Decision-Making: Use a strong technical background to make informed product decisions. Understand identity management systems, authentication flows, and cloud architecture to balance approaches with architects and engineers. Ensure architectural choices support the product vision and security, scalability, and standards. Innovation & Continuous Improvement: Stay current on identity, security, and AI/ML trends. Identify opportunities to adopt new technologies or practices (e.g., passwordless authentication, adaptive security, AI-driven anomaly detection) and pilot AI agents to assist with monitoring or policy recommendations. Measurement & Accountability: Define KPIs and success metrics (e.g., authentication success rates, reduction in login-related tickets, improved onboarding). Track outcomes and use data to inform decisions and demonstrate program value. Mentoring and Leadership (Individual Contributor): While not a manager, mentor junior product managers and product owners, share expertise, and promote best practices in product management and AI adoption within the SDLC. Required Qualifications Experience: 8+ years in product management, including platform or technical product management roles. Proven track record delivering end-to-end initiatives; IAM experience or related technical platforms preferred. Demonstrated ability to lead cross-functional teams without direct authority. Domain Expertise: Strong knowledge of IAM principles and technologies. Familiarity with OAuth 2.0, OIDC, SAML, directory services, user lifecycle management, and security/privacy compliance (FERPA, GDPR). Technical Acumen: Ability to discuss and understand complex technical designs with architects and engineers. Hands-on experience with cloud platforms (AWS preferred) and modern architectures (microservices, APIs, event-driven). Ability to grasp AI/ML concepts and apply them to products. Leadership & Collaboration: Excellent cross-functional leadership and stakeholder management. Strong communication skills, able to distill complex ideas for technical teams and executives. Experience in Agile/Scrum environments. Innovation Mindset: Interest or experience in cutting-edge technologies, especially generative AI, automation, and intelligent agents. Track record of driving innovation. Education: Bachelor’s degree required (Computer Science or related field preferred); MBA or advanced degree is a plus. Equivalent professional experience can substitute for formal education. Preferred Qualifications Identity & Access Management (IDAM): Extensive hands-on IAM design, implementation, and scaling for complex SaaS platforms; familiarity with FERPA, GDPR compliance and secure user experiences. EdTech and Data Standards: Experience in education technology; knowledge of education data standards (e.g., Ed-Fi, LTI) or student information systems is a plus. AI/ML Projects: Experience with AI-enabled product features or AI-infused product management processes. Cloud & Security Certifications: Relevant certifications (e.g., AWS, CIPP, CISSP) indicating depth in security and data privacy. Leadership in Matrix Organizations: Experience influencing senior leadership across multiple teams in a large matrix organization. If you’re excited about building the identity backbone of a next-generation online learning platform and thrive at the intersection of technology innovation and product strategy, apply. Join us in transforming learning and be a key architect of PVS’s future. Compensation at Pearson is influenced by skill set, experience, and location. The pay range for this position is between $135,000 - $175,000 (minimum full-time). This position may participate in an annual incentive program; benefits information is available here. Applications will be accepted through November 7th, 2025. This window may be extended depending on business needs. Equal Employment Opportunity Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need and are subject to applicable laws. Qualified applicants will receive consideration without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, protected veteran status, disability status, or any other protected status. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you require accommodations for accessibility during the application process, please email TalentExperienceGlobalTeam@grp.pearson.com. Job: Product Management Job Family: PRODUCT Organization: Virtual Learning Schedule: FULL_TIME Workplace Type: Remote Req ID: 21430

  • location
  • J-18808-Ljbffr Pearson

Job Tags

Full time, Remote work,

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