Digital Platform Owner

Job Description

Key responsibilities include:

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Digital Platform, AI & Ecosystem Strategy

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· Define and own the multi-year strategy and roadmap for Digital Engineering Knowledge Platform.

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· Drive the integration of standards intelligence into engineering ecosystems, including CAD/CAE, PLM, MBSE, digital twins, and AI-powered engineering tools.

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· Establish a unified digital platform connecting standards, learning, journals, technical content, APIs, and AI-enabled services.

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· Explore and operationalize emerging interoperability protocols and frameworks, including MCP, ACP, semantic interoperability standards, and AI orchestration technologies.

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· Prioritize enterprise platform capabilities and drive scalable growth across business units, content domains, and external standards ecosystems.

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Product Delivery, Platform Services & Customer Enablement

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· 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.

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· Partner with Engineering, Enterprise Architecture, AI teams, and vendors and business stakeholders.

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· Translate business priorities and customer use cases into executable product backlogs and platform initiatives.

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· Establish and monitor KPIs for adoption, engagement, platform performance, ecosystem growth, and monetization.

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· Lead pilot-to-scale commercialization and customer enablement programs.

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Monetization, Governance, & Cross-Enterprise Alignment

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· 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.

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· Establish governance models for AI agent licensing, telemetry, semantic access controls, and digital commerce.

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· Serve as the primary owner for platform alignment across business stakeholders, delivery teams, and ecosystem partners.

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Demonstrated knowledge and expertise across the following areas is required:

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· AI-enabled products, semantic platforms, or knowledge-driven ecosystems.

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· Building and scaling platform ecosystems

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· Operating within IP-sensitive, regulated, or high-trust domains.

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· Platform economics, monetization strategies, and ecosystem growth models.

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· Orchestrating cross-functional product portfolios across multiple business units or product lines

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Preferred qualifications include:

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· MBA or advanced degree in Business, Technology, Engineering, or related discipline

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· 10+ years of experience in one or more of the following:

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o Digital Platform Product Management

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o Ecosystem Product Leadership

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o API and Data Product Strategy

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o AI-Enabled Digital Products

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o Digital Transformation Programs

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· Familiarity with engineering systems such as CAD, PLM, MBSE, simulation, or digital twins.

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· Experience with API marketplaces, developer ecosystems, or platform governance.

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· Exposure to standards organizations, publishing, technical content, or enterprise knowledge systems.