Sr. Consultant, AI Content Strategy - Claims & Ops

Sr Cons Learning - TD07FE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

         

We are seeking a forward-thinking Sr. Consultant, AI Content Strategy to lead the integration of artificial intelligence into our enterprise content strategy. This role will bridge the gap between content strategy and AI technology, ensuring our content ecosystem is optimized for AI consumption, generation, and maintenance. The ideal candidate will possess a unique blend of strategic vision, technical expertise, and hands-on experience in developing AI-powered content solutions.

WORK ARRANGEMENT:

This role can have a Hybrid or Remote work schedule.  Candidates who live near one of our office locations have the expectation of working in an office 3 days a week (Tuesday through Thursday).   Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.

RESPONSIBILITIES:

Strategic Leadership

• Bridge the gap between content strategy, engineering, data science and content delivery by enabling content proliferation through modularized, context- aware content experiences that align to business unit roadmaps.
• Architect and advocate for AI-powered content solutions.
• Partner with cross-functional teams (e.g., IT, UX, Data Science) to ensure content is structured, tagged, and governed for AI-readiness.
• Structure, govern, and operationalize knowledge assets that support generative AI, retrieval-augmented generation (RAG), and next-gen content discovery experiences.
• Promote governance around knowledge reusability, data quality, and AI system readiness as it relates to content.
• Ensure systems support semantic interoperability across headless platforms, document repositories, structured and unstructured data sources.
• Advocate for ethical and inclusive AI content practices, ensuring transparency, accuracy, and accessibility.

Technical Development

• Design and implement AI-driven tools and workflows for content creation, personalization, tagging, and lifecycle management.
• Design and implement prompts enabling AI content generation, optimization, and assessment.
• Collaborate to design and manage AI tools and APIs for automated tagging, classification, and distribution.
• Collaborate with data scientists and engineers to ensure content strategy and needs align with enterprise AI strategies and models.
• Understand the needs of data engineers to optimize content inputs for vector databases, LLM prompt strategies, and training data curation.
• Act as a liaison between engineering, AI/data science, and content teams — translating human-centered goals into technical requirements and vice versa.
• Integrate enterprise content into generative AI pipelines through RAG methods, embedding strategies, or knowledge graph integrations.
• Evaluate and integrate third-party AI platforms and APIs to enhance content operations.
• Collaborate on the architecture and creation of knowledge graphs and semantic layers enhancing content discoverability, contextual understanding and personalization.
• Develop and maintain metadata frameworks, taxonomies, and ontologies to support AI content operations along with governance ensuring consistency in outcomes.
• Collaborate with cross functional teams to train LLMs and NLP models for content generation and summarization.

Content Innovation

• Implement and evolve structured knowledge frameworks using taxonomies, ontologies, and metadata strategies to power AI tools and search systems.
• Lead initiatives to create, test, and implement AI applications in content strategy and delivery.
• Monitor emerging trends in AI and content, translating insights into actionable strategies.
• Evaluate and implement emerging AI platforms and technologies for content applications.
• Develop frameworks and KPIs for measuring the impact of AI on content performance and user engagement.

QUALIFICATIONS:

Required:

• 5+ years in content management, content strategy, digital content, or related fields.
• 2+ years of experience working with AI technologies, preferably in a content or digital experience context.
• Proven track record of designing and implementing AI-driven content solutions.
• Experience improving content for generative optimization