AI-Driven Search Insights Lead

Autodesk; Atlanta (GA); On-site; USD 78,000 - 139,000; Full time

Job summary

Autodesk is seeking a data-driven Search Intelligence Manager to turn search, content, and customer behavior data into trusted dashboards and actionable insights. You will work with SQL, BI platforms, and Streamlit to diagnose trends, visualize performance, and recommend optimization opportunities across organic search and AI-driven discovery paths.

The role emphasizes collaboration with analytics, data engineering, and marketing teams to define KPI logic, ensure data quality, and deliver

Qualifications

• 3–5+ years of experience in digital analytics, marketing analytics, BI/reporting, analytics engineering, growth analytics, search analytics, or a related analytical role.
• Experience working with backend data systems, data warehouses, BI platforms, dashboards, and large datasets.
• Strong SQL or equivalent data-querying experience, with the ability to pull, join, clean, validate, and analyze data from multiple sources.
• Experience building dashboards, reporting tools, or lightweight data applications using tools such as Streamlit, Looker, Tableau, Power BI, or similar platforms.
• Familiarity with Google Search Console and SEMrush data, including search visibility, query, landing-page, and keyword performance trends.
• Ability to analyze customer behavior, journey paths, funnel performance, or conversion patterns using web analytics, BI tools, or backend datasets.
• Strong data QA skills, including validating metric definitions, identifying discrepancies, documenting assumptions, and ensuring reporting accuracy.
• Ability to translate complex data into clear insights, recommendations, and business narratives.
• Strong problem-solving skills, attention to detail, and willingness to learn quickly in a fast-moving search and AI discovery landscape.
• Collaborative mindset with the ability to work across analytics, data engineering, search, content, marketing, and technical teams.

Responsibilities

• Build and improve dashboards for search visibility, website engagement, content performance, customer journeys, and conversion trends.
• Work with backend data systems, BI tools, Streamlit, Google Search Console, SEMrush, and other sources to collect, validate, analyze, and visualize performance data.
• Diagnose search and discovery trends across impressions, clicks, CTR, rankings, landing pages, engagement, conversion, AI referrals, and emerging LLM-driven discovery paths.
• Analyze behavioral patterns for users arriving through organic search and AI-driven discovery, including landing-page behavior, content paths, drop-off points, and conversion signals.
• Identify SEO, AEO, content, and digital experience optimization opportunities based on data, customer behavior, and business impact.
• Partner with analytics, data engineering, search, content, marketing, and technical teams to define KPI logic, reporting needs, and source-of-truth measurement approaches.
• QA datasets, dashboards, reporting outputs, and scoring frameworks to ensure accuracy, consistency, and stakeholder trust.
• Support prioritization by combining performance data, business value, customer intent, content metadata, and optimization opportunity.
• Prepare concise performance summaries, visualizations, and insight narratives that help teams make smarter decisions.
• Stay current on search behavior, AI-driven discovery, analytics practices, and emerging measurement approaches.

Skills

Search analytics

SQL

Data visualization

Streamlit dashboards

Tools

Streamlit

Looker

Tableau

Power BI

Job description

Autodesk is seeking a data-driven Search Intelligence Manager to turn search, content, and customer behavior data into trusted dashboards and actionable insights. You will work with SQL, BI platforms, and Streamlit to diagnose trends, visualize performance, and recommend optimization opportunities across organic search and AI-driven discovery paths.

The role emphasizes collaboration with analytics, data engineering, and marketing teams to define KPI logic, ensure data quality, and deliver