Benjamin Arai

General Manager - CoreAI Analytics @ Microsoft

About

Substantial experience in analyzing Web user behavior to generate insights about user experience, business opportunities, and product strategies. I love realizing new concepts, building awesome teams, and pushing the envelope. My research topics include peer-to-peer networks, distributed databases, aggregation techniques and distributed top-k retrieval methods. If you have any questions, please feel free to contact me. Specialties: data mining and knowledge discovery in databases, data bases, design and analysis of algorithms, efficient indexing techniques, approximating range queries, similarity searching in sequence databases, information retrieval in peer-to-peer systems, and analysis of sensor data.

Country

United States

City

Bellevue

Industry

Research

Skill

Metric Design, Analytical Skills, Software as a Service (SaaS), Online Advertising, Databases, Indexing, Data Mining, Distributed Systems, Search, Data Analysis, Analysis, Business Analysis, Web Analytics, User Experience Research, Research, Experimentation, A/B Testing, Big Data, MapReduce, Computer Science

Experience

General Manager - CoreAI Analytics

Microsoft

2025-4 - Present · 1 yr 6 mos

Redmond, Washington, United States

I lead a cross-functional team responsible for analytics, A/B experimentation, reporting, data pipeline development, and measurement across the Foundry Platform organization and CoreAI Growth. We deliver end-to-end measurement and insights for all aspects of AI and GPU-related initiatives, driving data-informed decisions at scale.

General Manager - Analytics and Experimentation - AI Platform

Microsoft

2021-9 - 2025-3 · 3 yrs 7 mos

Redmond, Washington, United States

Led the Product Management and Data Science teams for Microsoft’s Analytics and Experimentation (ExP) group. Oversaw strategy, execution, and scaling of experimentation systems, driving the platform to exceed 100,000 experiments annually under my leadership.

Principal GPM & Data Science Manager

Microsoft

2020-5 - 2021-9 · 1 yr 5 mos

Bellevue, Washington, United States

Principal Data Science Manager

Microsoft

2014-9 - 2020-4 · 5 yrs 8 mos

Bellevue, Washington, United States

Senior Manager, Data Scientist

2013-2 - 2014-8 · 1 yr 7 mos

Mountain View, CA

Led a team of Engineers and Data Scientists responsible for building and delivering a wide variety of analysis, measurement, data products, and research. Some of the areas my team focuses on include: • Design and development of analytics platform for ad-hoc and exploratory analysis • Homepage Experience: Improve content relevance and overall homepage experience • Member On-boarding: Optimization of new/lapsed user experience (e.g., longer & more engaged visits) • Pulse: Phone/Tablet apps delivering high quality professional content to users • Email/Messaging: Optimization and improvements of messages delivered to members • Community: Improving social experience for members (viz., Sharing, Groups, Mentions) • Relevance: Improving content (e.g., news articles) relevance for members • Value of an Action: measurement of viral and online activity due to action taken on LinkedIn • Online Experimentation: Design and measurement of online experiments

Senior Data Scientist

2012-10 - 2013-2 · 5 mos

Mountain View, California, United States

Senior Applied Researcher

Microsoft

2010-4 - 2012-10 · 2 yrs 7 mos

Bellevue, WA

Bing Data Mining – Online Services Division (OSD) - Managed and drove team planning and execution of team for 3 release cycles - Drive communication of analysis projects to leadership and partner teams Summary of Analysis & Research Projects -Modeled attribution of query growth from engagement and user increases/decreases - Analyzed and developed key metrics for measuring performance of multiple Bing Bar releases - Modeled query share landscape and identified key opportunities - 2nd choice search engine query share distribution and user engagement analysis - User engagement analysis of competitor search features - MSN transfer to Bing user engagement analysis - SEO analysis and execution of key insights across Bing properties

Program Manager II

Microsoft

2008-7 - 2010-3 · 1 yr 9 mos

Redmond, Washington, United States

Education

University of California, Riverside

Computer Science

2004 - 2008 · 4 yrs

Thesis: Approximate Query Processing for Distributed Data Systems - Aggregation techniques on distributed and peer-to-peer databases focusing on online and distributed computation - Methods for performing Top-k analysis on distributed and peer-to-peer databases - Online processing of probabilistic techniques for Top-k queries on uncertain and fuzzy datasets - Data storage and aggregation techniques in sensor networks