Senior Marketing Data Science Lead — Strategy & Impact

Advanced Micro Devices, Inc.; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

AMD is seeking a Senior Manager of Marketing Data Science to build and scale data science capabilities within the Marketing Analytics team. You will identify high-impact analytics opportunities across the full marketing funnel and translate them into actionable projects, collaborating with Marketing, Product, and Sales Operations.

This role requires a strategic analytics leader who can translate complex questions into clear insights, influence planning and investments, and establish data science

Qualifications

• Bachelor’s degree in a quantitative field and 8+ years relevant experience.
• Proven track record leading data science in marketing or product settings.
• Strong communication and ability to influence senior stakeholders.

Responsibilities

• Build and scale Marketing Data Science capabilities across AMD Marketing.
• Own roadmaps and prioritize high-impact analytics across the marketing funnel.
• Measure business impact of models, campaigns, and investments.
• Design advanced analytics including attribution, forecasting, segmentation, and scoring.
• Partner with Marketing, Product, Sales Operations and IT to embed analytics in planning.

Skills

Python

SQL

R

Marketing analytics

Data visualization

Stakeholder management

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Marketing Analytics, or related field

Tools

CRM

Marketing Automation

Cloud data platforms

Job description

AMD is seeking a Senior Manager of Marketing Data Science to build and scale data science capabilities within the Marketing Analytics team. You will identify high-impact analytics opportunities across the full marketing funnel and translate them into actionable projects, collaborating with Marketing, Product, and Sales Operations.

This role requires a strategic analytics leader who can translate complex questions into clear insights, influence planning and investments, and establish data science