Associate - Search Engine Optimization

Search Engine Optimization & Generative AI Associate

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Lilly is seeking a Search Engine Optimization & Generative AI associate to join our In-House Organic Search team to create meaningful connections with consumers and healthcare providers, drive business results, and ultimately help deliver on its company purpose to make life better for people around the world.

The Search ecosystem is particularly dynamic and swiftly evolving – marked by shifts in user behavior and loyalty within Generative AI, new ways to leverage data, and more. Lilly recognizes the need to keep a continuous pulse on the Generative AI & Search landscapes to ensure its solutions and expertise remain current and relevant as it strives to meet the needs of customers when and where they want to engage.

The Search Engine Optimization Associate will be part of the Search Capabilities Team, which is part of Lilly's Digital Engagement Organization – joining the Enterprise Website Team and Social Media Center of Excellence – which collectively designs and deploys integrated, innovative digital marketing strategies to improve health outcomes and address timely business needs across Customers, Business Units, Functions, and Geographies.

The Search Engine Optimization Associate will assist with generative AI, organic search strategy & operations, driving both executional excellence and channel innovation in partnership with Brand Teams, Therapeutic Areas, and Cross-Functional players across Lilly.

The Search Engine Optimization Associate will be responsible for implementing strategic deliverables when it comes to organic search engine optimization (SEO) and GenAI (Generative AI) which includes: developing and optimizing new and current keyword lists across customer groups and therapeutic areas with traditional keywords and GenAI prompts, technical site audits for all websites to maintain optimal site health, finding GenAI content opportunities and partnering with tech, dev, accessibility, brand and search counterparts every day.

The Search Engine Optimization Associate will also be responsible for partnering with cross functional teams and marketing teams to establish Key Performance Indicators that align with site strategy and the overall channel mix. The Search Engine Optimization Associate will also assist with reporting, keyword optimization, technical audits, content recommendations, competitive landscape analyses and trends, algorithm update reports and additional content research.

• Lead enterprise SEO strategy across multiple therapeutic areas, driving scalable growth in Generative AI visibility (LLMs) and organic visibility within Search Engines.
• Develop and optimize comprehensive keyword and content strategies aligned to user intent, therapeutic demand, and evolving GenAI search behaviors.
• Monitor and interpret search industry trends, algorithm updates, and emerging GenAI ranking factors; proactively adjust strategy to maintain and grow competitive share of voice.
• Identify, prioritize, and implement content, technical, and on-site optimization opportunities to improve crawlability, indexation, engagement, and conversion performance.
• Partner cross-functionally with Brand, Product Managers, EWI, Paid Search, IHA, Analytics, and Medical/Legal/Regulatory teams to ensure cohesive search strategy and improve total GenAI/Search presence.
• Implement structured data, content architecture enhancements, and high-intent page strategies to improve discoverability and GenAI citation potential.
• Manage…