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About the Role

AMD is seeking a Senior Manager of Marketing Data Science to build and scale data science capabilities within the Marketing Analytics team. This role involves identifying high-impact analytics opportunities, translating them into actionable projects, and leading their delivery. The position requires building the data science capability from the ground up, fostering stakeholder relationships, and educating the marketing organization on data science best practices. The goal is to embed data-driven insights into decision-making, optimize campaigns and investments, and improve marketing measurement.

Responsibilities

Build and scale Marketing Data Science capabilities from the ground up, including operating model, analytical frameworks, tools, processes, and governance.
Develop and own the Marketing Data Science roadmap, identifying and prioritizing high-impact analytics opportunities across the marketing funnel.
Measure and demonstrate the business impact of Marketing Data Science, establishing performance indicators and feedback loops.
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 and embed analytics.
Ensure analytical solutions are scalable, reliable, and actionable, partnering with data engineering, technology, and platform teams.

Requirements

Experience in data science, advanced analytics, marketing analytics, or a related discipline.
Experience leading complex, cross-functional analytics initiatives.
Demonstrated success building or scaling a data science or advanced analytics capability.
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.
Ability 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.
Experience developing and mentoring data scientists or analytics professionals.
Fostering a culture of experimentation, continuous learning, and measurable business impact.

Skills

Data Science
Advanced Analytics
Marketing Analytics
Python
R
SQL
Cloud Data Platforms
Machine Learning Frameworks
Visualization Tools
Marketing Mix Modeling
Multi-touch Attribution
Experimentation
Forecasting
Segmentation
Propensity Modeling
Causal Inference
Campaign Optimization
CRM
Marketing Automation
Digital Analytics
Paid Media
Account-Based Marketing
Communication
Storytelling

Location

Remote

Work Type

Full-time

Experience Level

Senior Manager
Experience leading complex, cross-functional analytics initiatives
Experience building or scaling a data science or advanced analytics capability
Experience developing and mentoring data scientists or analytics professionals

Education Level

Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Marketing Analytics, or a related quantitative field.
Master’s degree or equivalent advanced experience is preferred.

Benefits

AMD benefits at a glance.

About the Company

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward.

Equal Opportunity

AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.
We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.