Principal Risk Manager, Analytics and Insights

We are a startup within one of the fastest growing and most strategic parts of Amazon. Analytics and Insight owns the product, technology, and deployment roadmap for advanced analytics and insights products across our advertiser success team. Advertiser success is core to Amazon's growth, as it helps our suppliers drive awareness, consideration, and purchase of their products by hundreds of millions of consumers around the world, and generates revenue which helps us lower prices and invest in improvements to our customer experience. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

We are looking for a leader to grow and evolve our Advertising Insight Sharing (AIS) program at the intersection of risk management, data governance, and technology. You will own executing and evolving the insight disclosure decisioning process — including the underlying risk framework, data governance frameworks, and AI-enabled tooling that power it at scale. This process is based on core tenets and evaluation criteria. As such, you own permissioning of all insights delivered by Amazon Ads, independent of whether the insight is based on data from Amazon Ads or other Amazon businesses. This role is global in scope and will have direct impact on Amazon Ads business worldwide.

In this role, you will drive the technical strategy for data governance across insight sharing workflows, defining how risks are classified, monitored, and inspected. In partnership with engineering and science teams, you will evaluate and deploy AI/ML-based solutions to automate risk assessment, scale decisioning, and enhance proactive compliance detection. This will also extend to influencing the data integration principles to ensure they meet privacy, security, and governance standards while enabling speed and innovation for our advertising customers.

To be successful in this role, you will be comfortable dealing with ambiguity, making business-critical decisions at the intersection of technology and policy, engaging senior leadership across different organizations and regions, and providing high-judgment recommendations. You will work backwards from Amazon customers across different businesses and create solutions that drive long-term value for all. You have deep expertise in data governance, data protection, privacy, and security, paired with technical fluency in data systems, integrations, and emerging AI technologies. You will also constantly evaluate existing processes, guardrails, and technical systems, and iterate to improve customer experience, decision velocity, and governance maturity. Experience in advertising industry is a plus.


Key job responsibilities
Risk & Governance Strategy
•Own and evolve the AIS data governance framework, including data classification, access policies, lineage tracking, and sharing agreements across Amazon Advertising and partner organizations.
• Review incoming requests from internal teams against program guardrails, Amazon policies, business requirements, and quality standards driving continuous improvement in decisioning criteria.
• Define and maintain risk appetite, control frameworks, and escalation processes for insight sharing across global markets.
• Engage with senior leaders across Amazon to effectively communicate proposals, data governance requirements, and associated risk trade-offs.

Data Integration & Technical Oversight
• Provide governance oversight of data integration pipelines assessing how advertising 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 the architecture of data sharing mechanisms (APIs, clean rooms, data lakes) to ensure they meet privacy-by-design and governance-by-default principles.
• Drive adoption of automated data cataloging, lineage, and monitoring tools to maintain visibility across the insight sharing ecosystem.

AI & Automation
• Partner with Engineering teams to Identify and deploy AI/ML-powered solutions to automate and scale risk assessment, anomaly detection, and compliance monitoring within insight sharing workflows.
• Evaluate emerging AI technologies (including generative AI) for their applicability and risk implications in advertising data and insight delivery.
• Build frameworks for responsible AI governance as it relates to insights derived from automated systems, ensuring fairness, transparency, and accountability.
• Partner with applied science and engineering teams to integrate intelligent decisioning tools that reduce cycle time while maintaining governance rigor.

Program Leadership & Stakeholder Management
• Guide internal customers in solving external customer problems while ensuring all internal governance, legal, and compliance requirements are met.
• Innovate on behalf of our customers to constantly enhance decision quality, reduce decision time, and improve self-service capabilities.
• Partner with Amazon business leadership and teams outside of Amazon Ads to identify, evolve and implement data disclosure requirements and business risks globally.
• Partner with Legal, Privacy, Compliance, PR, and InfoSec teams to navigate regulatory dynamics and evolving data protection requirements globally.

BASIC QUALIFICATIONS

- 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 QUALIFICATIONS

- Experience with and deep understanding of advertising technologies (i.e., ad server, DSP)
- 5+ years of digital media/marketing strategy, data analysis, and data analytics/visualization experience
- Master's degree in Computer Science, Information Security, or a related field
- Knowledge of AI governance frameworks, responsible AI principles, and emerging regulations around automated decision-making.
- Certifications in data governance (CDMP, DGSP), privacy (CIPP/CIPM), or cloud architecture are a plus.
- Experience in Advertising Technology (AdTech) or Marketing Technology (MarTech) data governance.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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