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Anna Wu

Anna Wu

Data Leader

REDMOND, WA, United States, 98052
18143212144
English, Chinese

Background


About

About

Leveraged over 10 years of experience as both a hands-on contributor and an accomplished manager to build and scale high-performing data teams. Proven record in shaping consumer&enterprise product strategies, impacted millions users and generated billions revenue. Excel at translating complex large organizational challenges into data strategies, building strong cross-functional partnership alignment to drive business growth.

Work Experience

Work Experience

  • Staff Quantitative Research ManagerGoogle

    Sep, 2020 - Present

    Built and scaled Google's largest quantitative research team from the ground up to 13 geographically dispersed members, covering major GCP product portfolios with ~$30B in annual revenue.

    • Directed 300+ analytics projects, informing ~100 roadmaps, OKRs, and PRDs across Iaas (Compute, Storage, Networking), PaaS (GKE, Cloud Run, App Engine) and key AI products like Gemini for Cloud. At Cloud Next ’25 alone, informed 13 product/feature launches with $billion revenue.

    • Guided Google Cloud's 5-year geo-expansion strategy and 10-year fungibility plan; research insights on data residency and capacity planning impacted 27 regions and 41 locations.

    • Founded an AI-enabled research center of excellence, shipping generative AI tools to 12K internal users impacting 20+ Google teams, saving hundreds of hours monthly by automating data analysis.

    • Developed and scaled a holistic AI evaluation framework that directly improved Gemini Cloud Assist response quality by 2.5x and was adopted as Google-wide measurement playbook.

    • Orchestrated a multi-year initiative to smooth experience transition among GUI/CLI/API, securing cross-product engineering investment and accelerating strategic feature launches led to +8% global LoadBalancer adoption.

    • Served key governance roles on Quantitative Research Steering Committee, AI Advisory Board for UXLC, and Google Research Scholarship Program Committee, shaping Google-wide research strategy.

  • Senior Data Science ManagerMicrosoft

    Jan, 2016 - Sep, 20204 years 8 months

    Led a team of data scientists working on Microsoft's $6B Cloud+AI Business portfolio, translating foundational research into long-term roadmaps for Cloud+AI products.

    • Drove evidence-based decision-making for key products (PowerApps, Power BI, Dynamics), moving strategy from intuition to rigorous quantitative insight through 10+ analytical programs.

    • Defined the long-term data strategy for PowerBI generating $millions annually, shifting focus from reactive analytics to predictive ML-driven features, shaping long-term roadmaps for the broader Power Platform.

  • User Experience ResearcherMicrosoft

    Sep, 2012 - Jan, 20163 years 4 months

    Mixed-method UX researcher on Windows, Phone and Xbox, conducting field study, usability testing, surveys, and log analysis.

    • Translated foundational research and theories into product designs for Windows 8/8.1/10, impacting millions of users

    • Drove Windows Phone East Asian product strategy through international competitive research

    • Established a usability engine team (of 10) for a large-scale (50+ sessions weekly) benchmark initiative, accelerated product iterations.

  • Visiting Research ScientistPalo Alto Research Center

    Jun, 2010 - Jun, 20122 years

    Designed and implemented Sense Places Out of Text (SPOT), a geo-disambiguation algorithm and annotation platform that achieved 90% precision and 74% recall in large-scale evaluations involving thousands of travel blogs and hundreds of annotators. US patented.

  • Research InternIBM Research Center

    Jun, 2009 - Sep, 20093 months

    Developed a statistical model to predict relationship closeness among ~60K IBM employees; published @CHI 2010 (Best Paper nomination).

  • Research InternIBM Research Center

    Jun, 2010 - Sep, 20103 months

    Conducted user studies (interviews, online survey) for a business mobile app, guiding product development.

Skills

Skills

  • Strategic & Business Acumen

    Operational Efficiency

    Financial Acumen

    Market & Customer Focus

    ROI Analysis

    Strategic Planning

    KPI Definition

    Roadmapping

  • Team Building & Talent Development

    Mentorship & Coaching

    Performance Management

    Hiring & Recruiting

    Resource Allocation

    Leadership

    Retention Strategy

    Culture Building

  • Stakeholder Management

    Executive Presentations

    Client Relations

    Negotiation

    Expectation Management

    Cross-functional Communication

    Building Buy-in

  • Cross-functional Collaboration

    Agile/Scrum Methodologies

    Project Management

    Interdepartmental Coordination

    Workflow Optimization

    Silo Breaking

    Joint Roadmapping

  • Data Analytics

    Descriptive Analytics

    Exploratory Data Analysis (EDA)

    Data Mining

    Insights Generation

    Root Cause Analysis

    Reporting & Dashboards

    Trend Analysis

  • A/B Testing

    Experimentation Design

    Hypothesis Testing

    Multivariate Testing

    Conversion Rate Optimization (CRO)

    Statistical Significance

  • Survey Design & Analysis

    Questionnaire Design

    Sampling Strategy

    Quantitative Research

    Qualtrics/SurveyMonkey

    Customer Satisfaction (CSAT)

    Net Promoter Score (NPS)

  • Usability Testing

    User Research (UXR)

    Heuristic Evaluation

    User Interviews

    Task Analysis

    User Journey Mapping

  • Statistical Modeling

    Regression Analysis

    Forecasting

    Bayesian Methods

    Time Series Analysis

    ANOVA

    Predictive Modeling

  • Machine Learning (ML)

    Supervised/Unsupervised Learning

    Deep Learning

    Model Training & Evaluation

    Feature Engineering

    Scikit-learn

    TensorFlow/PyTorch

    Algorithms (Random Forest, XGBoost)

  • Natural Language Processing (NLP)

    Text Mining

    Sentiment Analysis

    Tokenization

    Named Entity Recognition (NER)

    Topic Modeling

    NLTK/SpaCy

  • Large Language Models (LLMs)

    Generative AI

    Prompt Engineering

    Fine-tuning

    Retrieval-Augmented Generation (RAG)

  • Python

    Pandas & NumPy

    Data Manipulation

    Scripting & Automation

    Object-Oriented Programming (OOP)

    Jupyter Notebooks

  • SQL

    Relational Database Management

    Complex Joins

    Query Optimization

    Data Warehousing

    ETL Processes

    Window Functions

  • Data Visualization

    Tableau/Power BI/Looker

    Dashboard Development

    Data Storytelling

    Infographics

    Matplotlib/Seaborn (Python)

    Visual Analytics

Education

Education

  • Information Science and Technology (Stats Minor), PhD, Penn State University

    Sep, 2007 - Jun, 2012

  • Industrial Engineering, ME, Tsinghua University

    Sep, 2005 - Sep, 2007

  • Mechanical Engineering (Math Minor), BE, Tsinghua University

    Sep, 2001 - Sep, 2005

Volunteer Work

Volunteer Work

  • Board member, NWCS

    Nov, 2022 - Present