Key responsibilities include:
Digital Platform, AI & Ecosystem Strategy
· 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:
o Digital Platform Product Management
o Ecosystem Product Leadership
o API and Data Product Strategy
o AI-Enabled Digital Products
o 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.
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