Digital Platform Owner

PRI Technology; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

PRI Technology seeks a senior platform leader to own the multi-year strategy for the Digital Engineering Knowledge Platform in New York. Drive integration of standards intelligence across CAD/PLM/MBSE and AI-enabled tools, building a unified platform for content, APIs, and services.

Lead cross-functional teams to scale platform ecosystems, govern licensing, and monetize ecosystem growth while aligning with enterprise stakeholders and business units.

Qualifications

• Knowledge of AI-enabled products and semantic platforms.
• Ability to build and scale platform ecosystems.
• Experience in IP-sensitive, regulated or high-trust domains.
• Understanding of platform economics and monetization.
• Ability to orchestrate cross-functional portfolios across business units.

Responsibilities

• Define and own the multi-year strategy and roadmap for the Digital Engineering Knowledge Platform.
• Drive integration of standards intelligence into engineering ecosystems and AI-enabled tools.
• Establish a unified digital platform connecting content, APIs, and services.
• Operationalize interoperability protocols and AI orchestration technologies.
• Partner with Strategy, Revenue, and engineering teams to drive platform monetization and governance.

Skills

AI-enabled products

Semantic platforms

Platform ecosystems

IP-sensitive governance

Cross-functional product portfolios

Education

MBA or advanced degree in Business/Tech/Engineering

Tools

APIs & Data products

Job description

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.