Lead AI-Driven Search Intelligence

Autodesk, Inc; New Jersey; On-site; USD 78,000 - 139,000; Full time

Job summary

Autodesk, Inc. is seeking a Search Intelligence Manager to transform search, content, and AI-driven discovery data into trusted dashboards and actionable recommendations.

You will work with backend data systems, BI tools, and data sources to understand changes, quantify impact, and guide optimization across organic search and AI-driven pathways. The role emphasizes analysis of user journeys, landing-page behavior, and conversion signals, with collaboration across analytics, data engineering, and

Qualifications

• 3–5+ years in digital analytics or related analytical role.
• Experience with backend data systems, data warehouses, and large datasets.
• Strong SQL or equivalent for multi-source data analysis.
• Experience building dashboards or lightweight data apps with Streamlit, Looker, Tableau, Power BI.
• Familiarity with Google Search Console and SEMrush data.

Responsibilities

• Build and improve dashboards for search visibility, website engagement, content performance, and conversion trends.
• Analyze performance data from Search Console, SEMrush, and BI sources to generate insights.
• Diagnose trends in impressions, clicks, CTR, rankings, landing pages, and conversions.
• Identify optimization opportunities based on data and business impact.
• Collaborate with analytics, data engineering, search, content, and marketing teams to define KPI logic and reporting needs.

Skills

SQL

Dashboards

Data QA

Analytics storytelling

BI tooling

Tools

Streamlit

Looker

Tableau

Power BI

Google Search Console

SEMrush

Snowflake

Job description

Autodesk, Inc. is seeking a Search Intelligence Manager to transform search, content, and AI-driven discovery data into trusted dashboards and actionable recommendations.

You will work with backend data systems, BI tools, and data sources to understand changes, quantify impact, and guide optimization across organic search and AI-driven pathways. The role emphasizes analysis of user journeys, landing-page behavior, and conversion signals, with collaboration across analytics, data engineering, and