AI-Driven Generative Search Strategist

Abbott; Chicago (IL); On-site; USD 129,000 - 259,000; Full time

Benefits offered by this job

Health benefits

Tuition reimbursement

Career development

Job summary

Abbott Park, IL or Willis Tower Chicago seeks a Generative Search Strategist to optimize Abbott’s enterprise digital presence. Define traditional and AI‑driven search strategies, set governance, and align content, architecture, and metadata to improve discoverability for Abbott.com and brand platforms.

Collaborate with content, digital marketing, and public affairs teams; build dashboards, playbooks, and training to scale best practices.

Qualifications

• Bachelor’s degree in marketing, digital, communications, or a related field.
• 8–10+ years of experience in search, digital marketing, or content optimization.
• Deep understanding of modern SEO and generative search concepts.
• Strong experience optimizing corporate websites and brand content ecosystems.
• Experience with SEO and analytics tools.

Responsibilities

• Define and execute traditional and generative search strategies, including technical, content, and authority-building pillars.
• Establish the operating model and governance across the organization for cross-functional delivery.
• Build and maintain AI-search roadmaps aligned to brand and business goals.

Skills

SEO

Generative search

Digital marketing

Content optimization

Analytics

Cross-functional collaboration

Education

Bachelor’s degree in marketing, digital, communications, or a related field

Tools

Google Analytics

SEMrush

Ahrefs

Google Search Console

Job description

Abbott Park, IL or Willis Tower Chicago seeks a Generative Search Strategist to optimize Abbott’s enterprise digital presence. Define traditional and AI‑driven search strategies, set governance, and align content, architecture, and metadata to improve discoverability for Abbott.com and brand platforms.

Collaborate with content, digital marketing, and public affairs teams; build dashboards, playbooks, and training to scale best practices.