Marketing AI Content Strategist

· Develop and manage the firmwide content strategy and proactively identify high-impact thought leadership themes, aligned to enterprise priorities and growth objectives for priority solutions, service lines, industries, and geographies, and informed by market trends, competitive intelligence, client demand signals, search behavior, and AI-driven discovery patterns.

· Own content-driven SEO and GEO strategy, ensuring firm content and thought leadership are optimized for traditional search engines and generative AI search experiences.

· Establish and maintain a centralized editorial framework, an annual content roadmap, and structure intake and prioritization process.

· Serve as a strategic advisor to practice leaders and marketing strategists, ensuring content aligns with business priorities and drives clear differentiation.

· Build and maintain structured prompt libraries, modular templates, and reusable AI frameworks.

· Standardize AI-assisted workflows for marketing and campaign assets.

· Develop quality control standards for AI-generated content to ensure brand integrity and consistency.

· Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards.

· Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes.

· Train marketing team members on effective Jasper utilization.

· Identify and track measurable efficiencies in content development cycle time.

· Create modular content structures that enable repurposing across campaigns, field marketing, partner marketing, and digital channels.

· Reduce bespoke content development through repeatable frameworks and messaging briefs.

· Partner closely with the Campaigns Manager to ensure content is optimized for omni-channel activation.

· Define KPIs for content engagement, influence, and production efficiency, and use performance data and stakeholder feedback to continuously refine content strategy and AI workflows.