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Senior Data Science Manager

AMD· General Management/ Administration/ Support
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Santa Clara, CA$168kFull-timePosted 1w ago

About the role

Senior Manager of Marketing Data Science at AMD, responsible for building and scaling marketing data science capabilities, defining the data science roadmap across the marketing funnel, and embedding analytics into decision-making and campaigns.

Responsibilities

  • Build and scale Marketing Data Science capabilities from the ground up, including the operating model, analytical frameworks, tools, processes, and governance required to support the broader marketing organization.
  • Develop and own the Marketing Data Science roadmap, identifying and prioritizing high-impact analytics opportunities across the complete marketing funnel—from awareness and engagement through demand generation, pipeline, conversion, retention, and expansion.
  • Measure and demonstrate the business impact of Marketing Data Science, establishing performance indicators and feedback loops that continuously improve models, campaigns, customer experiences, and marketing investments.
  • Design and deliver advanced analytical solutions, including lead and account scoring, attribution, marketing mix modeling, experimentation, forecasting, segmentation, propensity modeling, and campaign optimization.
  • Partner closely with Marketing, Product, Sales Operations, and other cross-functional stakeholders to understand business priorities, identify opportunities, and embed analytics into planning and decision-making processes.
  • Ensure analytical solutions are scalable, reliable, and actionable, partnering with data engineering, technology, and platform teams to improve data quality, accessibility, integration, and model deployment.

Qualifications

  • Experience in data science, advanced analytics, marketing analytics, or a related discipline, including experience leading complex, cross-functional analytics initiatives.
  • Demonstrated success building or scaling a data science or advanced analytics capability, including defining the roadmap, operating model, methodologies, technology requirements, and governance.
  • Hands-on knowledge of advanced analytical approaches such as marketing mix modeling, multi-touch attribution, experimentation, forecasting, segmentation, propensity modeling, causal inference, and campaign optimization.
  • Strong understanding of marketing and sales data ecosystems, including CRM, marketing automation, digital analytics, paid media, account-based marketing, customer, opportunity, and product data.
  • Proficiency with analytical tools and technologies such as Python or R, SQL, cloud data platforms, machine learning frameworks, visualization tools, and modern data science development environments.
  • Experience partnering with data engineering, IT, and platform teams to improve data quality, integrate complex data sources, operationalize models, and develop scalable analytical solutions.
  • Proven ability to build trusted relationships with senior stakeholders across Marketing, Product, Sales Operations, Finance, and Technology, and to influence decisions without direct authority.
  • Exceptional communication and storytelling skills, with the ability to translate complex analytical findings into clear business implications and recommendations for technical, marketing, and executive audiences.
  • Experience developing and mentoring data scientists or analytics professionals and fostering a culture of experimentation, continuous learning, and measurable business impact.

Skills

Required:Data Science leadershipMarketing analyticsPython or RSQL

Benefits

  • Benefits offered are described: AMD benefits at a glance.
Last updated Oct 15, 2026. Interested? Apply on the company site.
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AMD delivers leadership high-performance and adaptive computing solutions to advance data center AI, AI PCs, intelligent edge devices, gaming, & beyond.

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