Arlington, United States; New York, US; Santa Monica, United States; Seattle, United States
Full job description
Lead the Advertising Insight Sharing (AIS) program focusing on risk management, data governance, and technology. Own and evolve the insight disclosure decisioning process, including risk and data governance frameworks and AI-enabled tooling. Drive technical strategy for data governance, risk classification, monitoring, and inspection. Partner with engineering and science teams to deploy AI/ML solutions for risk assessment, decisioning, and compliance. Influence data integration principles to meet privacy, security, and governance standards. Engage senior leadership and provide high-judgment recommendations. Evaluate and improve processes, guardrails, and systems to enhance customer experience and governance maturity. Requirements include 10+ years in risk management, data governance, or data privacy/protection with technical systems experience, knowledge of data engineering, cloud, ETL, AI/ML, and IT compliance. Preferred experience in advertising technologies and digital media strategy. Responsibilities include managing data governance frameworks, reviewing requests, defining risk controls, overseeing data integration, driving AI automation, and collaborating with legal and compliance teams globally.
What you'll do
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Arlington, United States; New York, US; Santa Monica, United States; Seattle, United States
Full-time
Own and evolve the AIS data governance framework including data classification, access policies, lineage tracking, and sharing agreements
Review incoming requests against program guardrails, Amazon policies, business requirements, and quality standards
Define and maintain risk appetite, control frameworks, and escalation processes for insight sharing globally
Engage with senior leaders to communicate proposals, data governance requirements, and risk trade-offs
Provide governance oversight of data integration pipelines and data flows between internal systems, third-party platforms, and external partners
Partner with Engineering and Data Platform teams to define technical standards for data quality, metadata management, and integration security
Evaluate and influence architecture of data sharing mechanisms to ensure privacy-by-design and governance-by-default
Drive adoption of automated data cataloging, lineage, and monitoring tools
Partner with Engineering teams to identify and deploy AI/ML-powered solutions for risk assessment, anomaly detection, and compliance monitoring
Evaluate emerging AI technologies for applicability and risk implications
Build frameworks for responsible AI governance ensuring fairness, transparency, and accountability
Partner with applied science and engineering teams to integrate intelligent decisioning tools
Guide internal customers to solve external customer problems while ensuring governance, legal, and compliance requirements are met
Innovate to enhance decision quality, reduce decision time, and improve self-service capabilities
Partner with Amazon business leadership and teams outside Amazon Ads to implement data disclosure requirements and manage business risks globally
Partner with Legal, Privacy, Compliance, PR, and InfoSec teams to navigate regulatory dynamics and data protection requirements globally
Requirements
Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
Experience with IT compliance and risk management requirements (e.g. security, privacy, SOX, HIPAA etc.)
Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent, or experience in information security and compliance
Experience with AI/ML technologies
10+ years of experience in risk management, data governance, or data privacy/protection, with at least 5 years in roles involving technical data systems, integrations, or platform architecture
Demonstrated expertise in data governance frameworks, data classification, lineage, and metadata management
Preferred: Experience with and deep understanding of advertising technologies (i.e., ad server, DSP)
Preferred: 5+ years of digital media/marketing strategy, data analysis, and data analytics/visualization experience
Preferred: Master's degree in Computer Science, Information Security, or a related field
Preferred: Knowledge of AI governance frameworks, responsible AI principles, and emerging regulations around automated decision-making
Preferred: Certifications in data governance (CDMP, DGSP), privacy (CIPP/CIPM), or cloud architecture
Preferred: Experience in Advertising Technology (AdTech) or Marketing Technology (MarTech) data governance
Tech stack
data engineering pipelinescloud solutionsETL managementdatabasesvisualizationsanalytical platformsAI/ML technologiesdata integration pipelinesAPIsclean roomsdata lakesautomated data cataloginglineage trackingmonitoring tools
Benefits
Sign-on paymentsRestricted stock units (RSUs)Health insurance (medical, dental, vision, prescription)Basic Life & AD&D insurance and option for Supplemental life plansEmployee Assistance Program (EAP)Mental Health SupportMedical Advice LineFlexible Spending AccountsAdoption and Surrogacy Reimbursement coverage401(k) matchingPaid time offParental leave
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