Responsibilities

• Define and drive the long-term vision for how Content Strategy is operationalized through AI-powered marketing systems and workflows, including the strategic requirements that preserve critical human judgment and oversight
• Partner with Marketing Technology teams to translate content strategy expertise into clear requirements, priorities, and success criteria that inform the AI platform's capabilities
• Design the knowledge architecture that structures customer insights, brand voice, audience context, messaging frameworks, and campaign intelligence for real-time access by AI agents and content generation systems. Define how marketing expertise is stored, retrieved, and applied so that AI produces strategically sound, not just grammatically correct, output
• Identify and recommend high-impact opportunities where AI can improve content quality, consistency, speed, and strategic alignment
• Establish governance guardrails, evaluation frameworks, and quality controls that ensure AI-generated content meets organizational standards while enabling scalable operating models
• Serve as a thought leader and advisor on the future of AI-enabled content strategy, helping to shape organizational direction and investment decisions
• Measure and communicate the business impact of AI-enabled content systems, including improvements in quality, consistency, efficiency, and strategic fidelity

Requirements

• 12+ years of experience in content strategy, content operations, content technology, AI product management, marketing technology, marketing strategy, or related disciplines
• Track record of driving alignment and outcomes across multiple organizations without direct authority, particularly in environments where technology, strategy, and creativity intersect
• Experience translating ambiguous business needs into clear strategic requirements and articulating them to technical and cross-functional partners to inform AI product roadmaps
• Strong understanding of generative AI capabilities, limitations, governance considerations, and implementation patterns
• Experience defining requirements or shaping product roadmaps for AI, content technology, or marketing automation platforms as a non-engineering stakeholder
• Exceptional written and verbal communication skills, including experience in influencing leaders and executive stakeholders
• Experience driving organizational change, workflow transformation, or technology adoption at scale

Preferred

• Track record of defining new functions, operating models, or organizational capabilities in emerging technology domains
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience developing strategic plans and driving them through to implementation with measurable outcomes
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience with AI agent architectures, marketing knowledge systems, or retrieval-augmented generation (RAG) patterns that enable AI to access brand, audience, and messaging context when generating content
• Deep familiarity with content lifecycle management, content governance, and content quality evaluation frameworks
• Experience in establishing measurement frameworks for AI effectiveness, content quality, and strategic alignment
• Experience operating in large, matrixed organizations with shared ownership of technology platforms