Director, Applied AI Innovation & Business Adoption

The Director, Applied AI Innovation & Business Adoption will drive the practical application, adoption, and measurable business impact of AI capabilities across NBCUniversal News Group. This is a senior individual contributor role for a hands-on AI practitioner who combines deep knowledge of modern AI tools with strong business acumen and stakeholder engagement skills, that requires the ability to influence without direct authority. Operating at the intersection of AI innovation, enablement, and business transformation, this individual will help News Group teams identify high-value use cases, apply approved AI solutions to real workflows, and accelerate responsible adoption across the organization. The ideal candidate is AI-native, highly proactive, and comfortable translating emerging technologies into practical business outcomes. Success will be measured through adoption, productivity gains, workflow improvements, quality enhancements, cost avoidance, and other measurable business results. Applied AI Innovation Drive AI adoption and innovation efforts across News Group functions, including editorial, product, technology, commercial, production, and operations. Partner with stakeholders to understand workflows, identify opportunities, and apply AI to improve efficiency, quality, creativity, and business outcomes. Lead AI engagement initiatives, including workshops, demos, office hours, use-case discovery, pilots, and communications. Serve as a trusted advisor, helping News Group teams move from AI exploration to meaningful adoption. Hands-On AI Solutioning Apply approved AI tools directly to business use cases, developing workflows, prompts, prototypes, demonstrations, and practical recommendations. Translate business challenges into scalable AI-enabled solutions. Identify reusable workflows and common use cases that can be expanded across the organization. Evaluate and recommend the best AI capabilities for specific business needs. AI Strategy & Market Awareness Monitor emerging AI technologies, product releases, and vendor roadmaps. Assess new capabilities and translate developments into actionable guidance for stakeholders. Maintain strong relationships with AI vendors and internal partners to identify opportunities for experimentation and adoption. Stakeholder Engagement Build credibility with leaders and practitioners across the organization. Run and facilitate workshops, showcases, office hours, and adoption programs tailored to varying levels of AI maturity. Develop practical resources, playbooks, examples, and self-service materials to support responsible AI use. Develop and support AI communities of practice and champion networks. Measurement & Business Impact Define and track adoption, engagement, and business impact metrics. Quantify outcomes including productivity gains, time savings, process improvements, quality enhancements, cost avoidance, and revenue opportunities. Communicate results, success stories, risks, and opportunities to leadership. Cross-Functional Collaboration Partner with Product, Technology, Data, Editorial, Operations, Learning & Development, Legal, Security, and Governance teams within the News Group. Align AI adoption efforts with enterprise standards, product roadmaps, and responsible AI requirements. Act as a bridge between business users and technical teams within the News Group. Required AI Expertise Candidates should demonstrate deep hands-on practical knowledge of: Generative AI applications for productivity, research, communication, content creation, planning, and analysis. Advanced prompting techniques and workflow design. AI-enabled research, knowledge management, and collaboration workflows. AI-assisted content, creative, editorial, data, and operational use cases. Automation and emerging agentic AI capabilities. Enterprise AI considerations including privacy, governance, security, responsible use, copyright, and risk management. Major enterprise AI platforms including Microsoft Copilot, OpenAI, Adobe, and similar solutions. Rapid evaluation and adoption of emerging AI technologies and capabilities.