Digital Platform Owner

Digital Engineering Knowledge Platform Define and own the multi-year strategy and roadmap for Digital Engineering Knowledge Platform. Drive the integration of standards intelligence into engineering ecosystems, including CAD/CAE, PLM, MBSE, digital twins, and AI-powered engineering tools. Establish a unified digital platform connecting standards, learning, journals, technical content, APIs, and AI-enabled services. Explore and operationalize emerging interoperability protocols and frameworks, including MCP, ACP, semantic interoperability standards, and AI orchestration technologies. Prioritize enterprise platform capabilities and drive scalable growth across business units, content domains, and external standards ecosystems. Product Delivery, Platform Services & Customer Enablement Own the roadmap and delivery for customer-facing platform capabilities, including APIs, digital delivery, AI-enabled retrieval and contextual navigation, metadata services, analytics, and developer capabilities. Partner with Engineering, Enterprise Architecture, AI teams, and vendors and business stakeholders. Translate business priorities and customer use cases into executable product backlogs and platform initiatives. Establish and monitor KPIs for adoption, engagement, platform performance, ecosystem growth, and monetization. Lead pilot-to-scale commercialization and customer enablement programs. Monetization, Governance, & Cross-Enterprise Alignment Partner with Strategy and Revenue offices to implement and operationalize next-generation monetization models, including embedded engineering intelligence, AI-agent consumption licensing, engineering services, platform partnerships and machine-access licensing. Establish governance models for AI agent licensing, telemetry, semantic access controls, and digital commerce. Serve as the primary owner for platform alignment across business stakeholders, delivery teams, and ecosystem partners. Demonstrated knowledge and expertise across the following areas is required: AI-enabled products, semantic platforms, or knowledge-driven ecosystems. Building and scaling platform ecosystems Operating within IP-sensitive, regulated, or high-trust domains. Platform economics, monetization strategies, and ecosystem growth models. Orchestrating cross-functional product portfolios across multiple business units or product lines Preferred qualifications include: MBA or advanced degree in Business, Technology, Engineering, or related discipline 10+ years of experience in one or more of the following: Digital Platform Product Management API and Data Product Strategy AI-Enabled Digital Products Digital Transformation Programs Familiarity with engineering systems such as CAD, PLM, MBSE, simulation, or digital twins. Experience with API marketplaces, developer ecosystems, or platform governance. Exposure to standards organizations, publishing, technical content, or enterprise knowledge systems. #J-18808-Ljbffr PRI Technology