Program Manager, Search - AI Data

- 3+ years of program or project management experience - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience using data and metrics to determine and drive improvements - Experience working cross functionally with tech and non-tech teams - Experience identifying and resolving complex issues
Hundreds of millions of customers. Billions of products for sale. Billions of queries and billions of dollars in revenue. The scale and impact of Amazon Search is huge. The Amazon Search team creates powerful, customer-focused search solutions and technologies. Amazon's Metrics, Insights and Data Annotation for Search team is looking for a program manager. Our mission is to deliver high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers’ expectations. We own delivering the data labeling process improvements and automation requirements towards our vision. Expectations from this role is to spearhead some of our human annotation projects as the central point of contact, collaborating closely with Science teams, Language Engineers, and our Quality and Operations teams to deliver top-tier data that fuels search accuracy. You'll lead multiple projects with varying cadences, managing them end-to-end within budget, and contribute to optimizing the broader MIDAS team's annotation program. Key job responsibilities Responsibilities include: 1) create and maintain project lifecycle artifacts, 2) manage timelines for projects by identifying risks and mitigations, 3) identify annotators workforce needs (3P vs internal), 4) own the 3P vendor budget tracking for their programs, 5) own the vendor management processes, 6) ensure timely handoffs across teams, 7) ensure data quality standards are met. Additionally, our program managers own the annual intake process of labeling requests from all existing partner teams in Search. Key job responsibilities: * Define program requirements and drive partners to meet goals. * Manage operations of the projects, including schedule, budget, logistics, and resource planning. * Partner closely with cross-functional stakeholder teams to develop project specifications. * Manage multiple projects at one time and prioritize as necessary. * Continuously evaluate data tools and processes and offer solutions to ensure they are efficient and scalable. * Communicate ideas effectively, verbally and in writing, to a wide range of audiences including Directors and VPs. * Foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues (build consensus). * Proactively identify risks and bring them to the attention of your team and stakeholders with plans for mitigation before they become roadblocks. A day in the life Strategic Collaboration with Science Teams: Partner with Science teams to define requirements for both ongoing and prospective human annotation projects. Operational Oversight & Status Management: Maintain real-time awareness of project status by regularly syncing with the Operations team. Quality Assurance & Process Deployment: Consistent application of quality processes across all active projects. Financial review: Track program budgets, identifying opportunities for efficiency and ensuring adherence to financial plans. Stakeholder Communication: Drive clear and concise communication with leadership, providing timely updates on program. Cross-Functional Engagement & Strategy Development: Engage with diverse cross-functional teams to manage current projects and future program strategies. About the team We are the MIDAS team (Amazon's Metrics, Insights and Data Annotation for Search). Our mission is to deliver high quality labeled data at scale in order to improve the search experience for shopping on Amazon through AI model training and evaluation. We focus on agility, linguistic expertise, high standards for data integrity, enabling self-service, and frugality of resources in order to meet or exceed our customers’ expectations. We own delivering the data labeling process improvements and automation requirements towards our vision.