{"id":2910108,"url":"https://alion.io/job/amd-senior-data-science-manager","title":"Senior Data Science Manager","company":{"id":93,"name":"AMD","domain":"amd.com","url":"https://alion.io/company/amd","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":80,"open_postings":160,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":137000,"max_usd":260000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-09T17:45:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T22:32:24Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt 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.\nWhether 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. Join us and, together, we’ll advance your career.\nTHE ROLE :\nAMD is seeking a Senior Manager of Marketing Data Science to build and scale data science capabilities within the Marketing Analytics team. This person will identify the highest-impact analytics opportunities across the full marketing funnel, translate them into actionable projects, and lead the work to deliver them. Part of this role will include building the data science capability from the ground up, developing and deepening relationships with stakeholders across Marketing, Product, and Sales Operations, and collaborating across teams to educate and influence the broader marketing organization on the effective use of data science. This person will own the marketing data science agenda, ensuring that data-driven insights are embedded in decision-making, campaigns and investments are continuously optimized, and marketing impact is more effectively measured and improved.\nTHE PERSON :\nThe ideal candidate is a strategic analytics leader and relationship-builder who thrives at the intersection of data science, marketing, and business decision-making, and who can help establish data science as a core capability across AMD Marketing. They must be able to translate complex business questions into actionable analytics projects, communicate technical insights in a clear and compelling way, and influence teams to use data more consistently in campaign planning, optimization, and investment decisions. They must also be a strong team player, able to build trusted relationships across Marketing, Product, Sales Operations, and technical teams while developing a new analytics capability from the ground up.\nKEY RESPONSIBILITIES:\nBuild 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. \nDevelop 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.\nMeasure 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.\nDesign and deliver advanced analytical solutions, including lead and account scoring, attribution, marketing mix modeling, experimentation, forecasting, segmentation, propensity modeling, and campaign optimization.\nPartner 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.\nEnsure analytical solutions are scalable, reliable, and actionable, partnering with data engineering, technology, and platform teams to improve data quality, accessibility, integration, and model deployment. \nPREFERRED EXPERIENCE:\nExperience in data science, advanced analytics, marketing analytics, or a related discipline, including experience leading complex, cross-functional analytics initiatives. \nDemonstrated success building or scaling a data science or advanced analytics capability, including defining the roadmap, operating model, methodologies, technology requirements, and governance. \nHands-on knowledge of advanced analytical approaches such as marketing mix modeling, multi-touch attribution, experimentation, forecasting, segmentation, propensity modeling, causal inference, and campaign optimization. \nStrong understanding of marketing and sales data ecosystems, including CRM, marketing automation, digital analytics, paid media, account-based marketing, customer, opportunity, and product data. \nProficiency 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. \nExperience partnering with data engineering, IT, and platform teams to improve data quality, integrate complex data sources, operationalize models, and develop scalable analytical solutions. \nProven ability to build trusted relationships with senior stakeholders across Marketing, Product, Sales Operations, Finance, and Technology, and to influence decisions without direct authority. \nExceptional communication and storytelling skills, with the ability to translate complex analytical findings into clear business implications and recommendations for technical, marketing, and executive audiences. \nExperience developing and mentoring data scientists or analytics professionals and fostering a culture of experimentation, continuous learning, and measurable business impact. \nACADEMIC CREDENTIALS:\nBachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Marketing Analytics, or a related quantitative field. A master’s degree or equivalent advanced experience is preferred.\nThis role is not eligible for visa sponsorship.\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. 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.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.\nTHE ROLE :\nAMD is seeking a Senior Manager of Marketing Data Science to build and scale data science capabilities within the Marketing Analytics team. This person will identify the highest-impact analytics opportunities across the full marketing funnel, translate them into actionable projects, and lead the work to deliver them. Part of this role will include building the data science capability from the ground up, developing and deepening relationships with stakeholders across Marketing, Product, and Sales Operations, and collaborating across teams to educate and influence the broader marketing organization on the effective use of data science. This person will own the marketing data science agenda, ensuring that data-driven insights are embedded in decision-making, campaigns and investments are continuously optimized, and marketing impact is more effectively measured and improved.\nTHE PERSON :\nThe ideal candidate is a strategic analytics leader and relationship-builder who thrives at the intersection of data science, marketing, and business decision-making, and who can help establish data science as a core capability across AMD Marketing. They must be able to translate complex business questions into actionable analytics projects, communicate technical insights in a clear and compelling way, and influence teams to use data more consistently in campaign planning, optimization, and investment decisions. They must also be a strong team player, able to build trusted relationships across Marketing, Product, Sales Operations, and technical teams while developing a new analytics capability from the ground up.\nKEY RESPONSIBILITIES:\nBuild 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. \nDevelop 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.\nMeasure 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.\nDesign and deliver advanced analytical solutions, including lead and account scoring, attribution, marketing mix modeling, experimentation, forecasting, segmentation, propensity modeling, and campaign optimization.\nPartner 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.\nEnsure analytical solutions are scalable, reliable, and actionable, partnering with data engineering, technology, and platform teams to improve data quality, accessibility, integration, and model deployment. \nPREFERRED EXPERIENCE:\nExperience in data science, advanced analytics, marketing analytics, or a related discipline, including experience leading complex, cross-functional analytics initiatives. \nDemonstrated success building or scaling a data science or advanced analytics capability, including defining the roadmap, operating model, methodologies, technology requirements, and governance. \nHands-on knowledge of advanced analytical approaches such as marketing mix modeling, multi-touch attribution, experimentation, forecasting, segmentation, propensity modeling, causal inference, and campaign optimization. \nStrong understanding of marketing and sales data ecosystems, including CRM, marketing automation, digital analytics, paid media, account-based marketing, customer, opportunity, and product data. \nProficiency 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. \nExperience partnering with data engineering, IT, and platform teams to improve data quality, integrate complex data sources, operationalize models, and develop scalable analytical solutions. \nProven ability to build trusted relationships with senior stakeholders across Marketing, Product, Sales Operations, Finance, and Technology, and to influence decisions without direct authority. \nExceptional communication and storytelling skills, with the ability to translate complex analytical findings into clear business implications and recommendations for technical, marketing, and executive audiences. \nExperience developing and mentoring data scientists or analytics professionals and fostering a culture of experimentation, continuous learning, and measurable business impact. \nACADEMIC CREDENTIALS:\nBachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Marketing Analytics, or a related quantitative field. A master’s degree or equivalent advanced experience is preferred.\nThis role is not eligible for visa sponsorship.\nBenefits offered are described: AMD benefits at a glance.\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. 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