Responsibilities

• Develops or establishes and maintains a content strategy that keeps TRS communications clear, consistent, accessible, accurate, and easy to find across web pages, FAQs, publications, documents, videos, email, and other public materials.
• Reviews or evaluates existing content on an ongoing basis for quality, accuracy, accessibility, and performance, with a focus on improving how content is interpreted and sourced by both users and AI systems.
• Defines, and/or develops and recommends content standards that prioritize plain language, member-focused explanations, and consistent terminology aligned with TRS policy and benefits information.
• Analyzes and/or reports key performance indicators related to content quality, discoverability, AI search accuracy, and efficiency gains from AI-assisted workflows.
• Uses insights and other emerging technologies to continuously refine content strategy, optimization approaches, and departmental priorities.
• Optimizes TRS content so it is accurately surfaced, summarized, and cited by publicly available AI-driven search and answer engines, including AI overviews and chat-based search results.
• Structures content for AI extractability using clear headings, summaries, FAQs, schema markup, and entity-based organization.
• Evaluates and/or monitors how TRS appears in AI-generated responses and identifies gaps, inaccuracies, or misinformation that require content updates or corrective action.
• Analyzes and/or tracks performance across traditional search and AI-driven search platforms, including growth in AI-referred web traffic and visibility metrics to evaluate communication effectiveness.
• Partners with Communications staff and internal stakeholders to recommend and implement content updates addressing misinformation identified through AI monitoring.

Requirements

• Bachelor's degree from an accredited college or university in communications, journalism, digital strategy, information science, marketing, or a closely related field.
• High school diploma or equivalent and additional full-time experience in content strategy, digital communications, search optimization, public-sector communications, or related experience may be substituted on an equivalent year-for-year basis.
• Three (3) years of experience in content strategy, digital communications, SEO-related roles, or closely related experience.
• Five (5) years of experience in content strategy, digital communications, or SEO-related roles, or closely related experience. (Senior)
• Experience working with complex, regulated, or public-sector information where accuracy and trust are critical.
• Experience with business AI tools and technologies, such as LLM-based assistants and embedded AI applications.

Preferred

• Experience with generative AI search optimization, answer engine optimization, emerging AI-driven discovery platforms, LLM optimization, GEO, GSO, or AEO.
• Experience managing AI or digital transformation projects and workstreams from scoping through adoption.
• Familiarity with structured content, schema markup, and entity-based content modeling.
• Experience working with analytics or search monitoring tools to assess content performance and misinformation risk.
• Knowledge of accessibility standards, such as WCAG, and best practices for inclusive digital communications.
• Experience designing content governance models, responsible-AI review processes, or scalable editorial workflows.
• Excellent interpersonal skills and ability to build positive, collaborative relationships.