Sr. Data Analytics Manager

Advanced Micro Devices, Inc • Austin, TX

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About The Position

AMD is seeking a Senior Manager of Marketing Data Science to build and scale data science capabilities within its Marketing Analytics team. The role identifies high-impact analytics opportunities across the marketing funnel, turns them into actionable projects, and leads delivery. It involves establishing the data science capability, building relationships across Marketing, Product, and Sales Operations, and educating and influencing the wider marketing organization on effective use of data science. The role owns the marketing data science agenda, embedding data-driven insights in decision-making and continuously improving campaign optimization and measurement of marketing impact.

The position calls for a strategic analytics leader and relationship-builder who can translate complex business questions into actionable analytics projects, communicate technical insights clearly, and influence teams to use data consistently in campaign planning, optimization, and investment decisions. The role works closely with business and technical teams to develop a new analytics capability from the ground up.

A bachelor’s degree in a quantitative field is required. A master’s degree or equivalent advanced experience is preferred. The role is not eligible for visa sponsorship.

Requirements

• Experience in data science, advanced analytics, marketing analytics, or a related discipline, including leading complex cross-functional analytics initiatives.
• Demonstrated success building or scaling a data science or advanced analytics capability, including defining its 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.
• Ability to build trusted relationships with senior stakeholders across Marketing, Product, Sales Operations, Finance, and Technology, and influence decisions without direct authority.
• Exceptional communication and storytelling skills, including translating complex analytical findings into clear business implications and recommendations for technical, marketing, and executive audiences.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Marketing Analytics, or a related quantitative field.
• This role is not eligible for visa sponsorship.

Nice To Haves

• A master’s degree or equivalent advanced experience.
• Experience developing and mentoring data scientists or analytics professionals and fostering a culture of experimentation, continuous learning, and measurable business impact.

Responsibilities

• Build and scale Marketing Data Science capabilities, including the operating model, analytical frameworks, tools, processes, and governance.
• Develop and own the Marketing Data Science roadmap, identifying and prioritizing high-impact opportunities across the full marketing funnel.
• Measure and demonstrate the business impact of Marketing Data Science by establishing performance indicators and feedback loops to 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 with Marketing, Product, Sales Operations, and other cross-functional stakeholders to understand priorities, identify opportunities, and embed analytics in planning and decision-making.
• Partner with data engineering, technology, and platform teams to improve data quality, accessibility, integration, model deployment, and the scalability and reliability of analytical solutions.
• Develop and mentor data scientists or analytics professionals and foster experimentation, continuous learning, and measurable business impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior