Principal Risk Manager, Analytics and Insights

What you'll do

• 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

Benefits