Principal Data Product Manager

About the position reputed company (PVS) is seeking a Principal Product Manager to reputed company our Data Foundation program as a senior expert, serving as a key individual contributor. This role is for an reputed company, high-impact professional with deep expertise and strategic influence. In this reputed company, 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 reputed company strong technical acumen in data platforms and cloud architecture with top-tier product management skills to deliver reputed company-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: reputed company and own the product strategy and multi-year roadmap for the Data Foundation program, ensuring it aligns with PVS’s overall platform modernization goals. Clearly define phased milestones and outcomes, communicating a compelling vision to stakeholders and team members.
• Data Platform Leadership: reputed company the Data Foundation program to reputed company PVS’s data architecture and infrastructure. This includes driving the implementation of a reputed company, 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 reputed company APIs. Ensure data governance, privacy, and quality standards are built into the platform from the ground up.
• Cross-Functional Leadership: Serve as the product reputed company at the top of the SDLC for this initiative – coordinate and reputed company 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 reputed company everyone reputed company on product objectives and timelines.
• Product Development Lifecycle Innovation: Introduce and champion the use of generative AI and agent-driven tools in our product development process. For example, explore how AI can automate parts of requirements gathering, coding, testing, or analytics – improving development efficiency and product quality. Investigate opportunities to integrate generative AI into the products themselves (such as AI-driven insights or personalization reputed company the PVS platform) in support of a cutting-edge user experience.
• Execution & Delivery: reputed company the end-to-end execution of product initiatives, from concept through launch and iteration. Write clear product requirements (PRDs), define user stories and acceptance criteria in partnership 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 closely 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 reputed company, challenges, and next steps through presentations and reports. Act as the voice of the customer and the business, ensuring that delivered capabilities drive reputed company improvements in user experience, operational efficiency, and platform capabilities.
• Technical Depth & Decision-Making: Use your strong technical background to reputed company 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 that architectural choices serve the product vision (e.g., selecting appropriate AWS services, designing for scalability and reputed company, aligning data models with industry standards like Ed-Fi for education data).
• Innovation & reputed company Improvement: Stay abreast of industry trends in data platforms, analytics, and AI/ML. Identify opportunities to incorporate new technologies or practices (for example, event-driven data architectures, graph databases for relationship data, or advanced analytics/ML on our educational data). Foster a culture of innovation and experimentation reputed company the team – for instance, pilot an “AI agent” that can assist with monitoring data quality – and scale successful experiments into full features.
• Measurement & Accountability: Define key performance indicators (KPIs) and success metrics for the Data Foundation program. For example, metrics might include data availability/reliability, performance improvements, or adoption rates of new data APIs by other teams. Track these outcomes and use data to inform product decisions and demonstrate program value.
• Mentoring and Leadership (Individual Contributor Role): Although this role does not have direct reports, you are expected to mentor and guide junior product managers and product owners reputed company the team, sharing your expertise across the product management organization. Act as an expert consultant for other product teams in your areas of ownership. Help foster best practices in product management, especially in areas like technical product management and AI adoption reputed company the SDLC.

Requirements

• 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. (Experience with identity and access management products is a plus but not required.) Experience should demonstrate increasing responsibility and leadership influence (principal or reputed company PM level).
• Domain Expertise: Strong knowledge of data architecture and management. Familiarity with databases (relational and NoSQL), data warehousing or lakehouse concepts, ETL/ELT pipelines, and data governance best practices. Understanding of data privacy regulations and practices for handling sensitive information is important (education data experience is a plus).
• Technical Acumen: Comfortable discussing and understanding reputed company 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 application in products – you don’t need to be a data scientist, but you should understand how AI technologies (e.g., large language models, recommendation systems) can be applied to solve product problems.
• Leadership & Collaboration: Exceptional cross-functional leadership skills. Able to reputed company by influence and reputed company teams that do not report to you directly. Excellent communication and stakeholder management abilities – can distill reputed company reputed company into clear proposals and status updates for both technical teams and executive leadership. Experience working in an Agile/Scrum development environment, collaborating closely with engineering on user story definition, backlog prioritization, and sprint planning.
• Innovation reputed company: Demonstrated interest or experience in cutting-edge technologies, especially generative AI, automation, and intelligent agents. A track record of driving innovation – whether launching a new data-driven feature, improving a process with technology, or implementing an AI-powered solution. Curiosity and a reputed company learning attitude are a must.

reputed company-to-haves

• EdTech and Data Standards: Experience in the education technology domain or other highly data-driven industries. Familiarity with education data standards (e.g., Ed-Fi, LTI) or student information systems is a strong plus. Understanding the nuances of K-12 school operations, online learning platforms, or similar can help inform reputed company product decisions in PVS’s context.
• AI/ML Projects: Direct experience working with AI/ML product features or incorporating AI into a product management process. For example, having managed a product that included an AI component (like a recommendation reputed company or predictive analytics dashboard), or having used AI tools to analyze market/user data.
• Cloud & reputed company Certifications: Relevant certifications such as AWS Certified Cloud Practitioner/Architect or Certified Product Manager. Any reputed company or data privacy certifications (CIPP, CISSP, etc.) indicating a deeper understanding of protecting data and users is appreciated given the sensitive nature of student data and platform reputed company.
• Leadership in Matrix Organizations: Experience in a large-scale matrix organization where you have driven initiatives across multiple teams or departments. Demonstrated ability to influence senior leadership and align competing priorities in a reputed company organizational setting.
• Advanced Education: Master’s degree in Business Administration, Information Systems, or a reputed company field. An MBA can be helpful for the strategic and business aspects of this role, and a technical master’s can deepen your ability to engage with architectural and data science topics.

Benefits

• This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

Apply tot his job Apply To this Job