Digital Platform Owner

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.