Platform Manager

Full-Time / Permanent Location: downtown Chicago; HYBRID (3 days onsite per week) Overview Lead the product management and enterprise administration of third-party AI platforms, initially focused on solutions such as ChatGPT and Claude. Own the strategy, adoption, governance, and ongoing optimization of enterprise AI platforms rather than developing proprietary AI products. Operate as an individual contributor within a broader technology organization supporting data, governance, engineering, and internally developed products. Responsibilities Own and administer enterprise AI platforms, including configuration, platform capabilities, adoption, and ongoing optimization. Develop and maintain product roadmaps and priorities for enterprise AI platforms. Evaluate new AI products, features, vendors, integrations, and emerging technologies. Assess AI use cases and stakeholder requests to determine enterprise applicability, scalability, value, and readiness. Prioritize competing requests and opportunities and make clear, data-informed recommendations. Manage relationships with AI technology vendors and support vendor evaluations and selection. Partner with technical teams and stakeholders on APIs, integrations, architecture, data flows, and platform connectivity. Understand and evaluate emerging technologies such as Model Context Protocol (MCP) connectors and related integration patterns. Support enterprise AI governance, risk, and approval processes in partnership with relevant stakeholders. Develop training, enablement, and adoption materials to help users effectively leverage enterprise AI capabilities. Required Bachelor's degree in Information Technology, Computer Science, Engineering, or a related technical field. 3+ years of product management or product ownership experience. Experience managing enterprise technology products or platforms within IT, data, or AI. Hands-on experience owning, administering, or managing technology platforms. Practical familiarity with AI and generative AI tools; conceptual knowledge alone is not sufficient. Experience evaluating technology vendors and solutions. Experience working within Agile and/or modern product management environments. Strong technical fluency, including an understanding of: APIs and integrations Technical architecture Data flows Strong stakeholder management, communication, and prioritization skills. Ability to evaluate technical concepts and business needs and translate them into clear product recommendations. #J-18808-Ljbffr Forbes Technical Consulting