Principal Risk Manager, Analytics and Insights

Description

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 s 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. You will evaluate and deploy AI/ML-based solutions to automate risk assessment, scale decisioning, and enhance proactive compliance detection. You will shape the architecture of data integration pipelines 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…