Guan Wang

Guan Wang Email and Phone Number

VP, Data @ Airtable | ex-Snowflake, Navan, Docusign @ Airtable
Guan Wang's Location
San Francisco Bay Area, United States, United States
About Guan Wang

Guan is an empathetic leader and purpose-driven builder at the intersection of data and go-to-market. He has 16+ years of building experience in data products, AI/ML applications, and go-to-market across the full customer lifecycle from high-growth startups to IPO to Fortune 100 tech companies. Over the years, he has built 3 high performance teams from the ground up to drive consistent business results at a global scale.In his spare time, he serves as an Advisor to founders in early stage startups, a Limited Partner at Stage 2 Capital Funds, as well as a volunteer for Asian American communities.Guan holds undergraduate and graduate degrees in Information Systems and Operations Management, and completed accelerated training in AI/ML and leadership development.

Guan Wang's Current Company Details
Airtable

Airtable

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VP, Data @ Airtable | ex-Snowflake, Navan, Docusign
Website:
airtable.com
Guan Wang Work Experience Details
  • Airtable
    Vp, Data
    Airtable Dec 2024 - Present
    San Francisco, California, Us
    Aspire to build an industry leading data team @ Airtable. Airtable enables any team, regardless of technical skill, to create apps on top of shared data and power their most critical and unique workflows. 500,000+ organizations use Airtable every day. The world’s largest enterprises use Airtable to build customized connected apps for their most critical and unique workflows — from managing product roadmaps to launching marketing campaigns to tracking job applicants — all on a single platform.
  • Stage 2 Capital
    Limited Partner
    Stage 2 Capital 2022 - Present
    Virtual, Us
    LP @ Venture & Catalyst FundsStage 2 Capital supports early stage B2B software companies in scaling their businesses by combining Venture Capital and Go-To-Market, empowering founders with hands-on coaching from an unrivaled network of GTM leaders.
  • Snowflake
    Sr. Director, Data Science & Analytics
    Snowflake 2020 - Dec 2024
    The Cloud, Us
    • Build an industry leading team with a clear vision and mission, cultivate x first time managers, and grow team size by x with specialties in data science, engineering, business intelligence, analytics, and go-to-market strategy• Lead end-to-end Board of Director materials for CMO with compelling stories and key business results• Build industry’s first Marketing Intelligence Platform powered by Snowflake from ground up, encompassing x end-to-end AI & ML solutions (lead scoring, account scoring, multi-touch attribution, sales pipeline forecasting, various go-to-market applications using LLMs), x dashboards and data applications with actionable insights• Develop, architect, and implement data governance, including best-in-class architecture to manage 4000+ tables, database roles and schemas, data catalog, metadata management, data quality initiatives, and interoperability between Snowflake and other systems• Build and implement best practices to manage AI & ML applications, including model architecture, MLOps, feature store, change log, automated A/B testing for new algorithms and features, and real-time model performance monitoring• Lead Snowflake on Snowflake: Marketing & Customer 360 programs based on internal use cases, influence customers’ data & AI strategies through engagement with CxOs and decision-makers, and as a result, drive sales pipeline and consumption revenue• Partner with cross functional teams to take internal solutions to market, by building Quickstart guides (examples: Lead Scoring Powered by ML & LLM; Marketing Data Foundation Starter Guide) and enabling x System Integrators to develop Native Apps to launch on Snowflake Marketplace• Analyze product and customer behavior data to create Modern Marketing Data Stack Reports (2022, 2023, 2024) and various AI Data Cloud visuals
  • Snowflake
    Customer 0
    Snowflake 2020 - Nov 2024
    The Cloud, Us
    Continue my journey to build teams, data products, and AI/ML solutions powered by Snowflake since 2016
  • Various Startups
    Advisor
    Various Startups 2022 - Nov 2024
    Advised founders of a few early stage AI startups, including Gradient.ai https://gradient.aiPipeIQ.ai https://pipeiq.ai
  • Navan
    Global Head, Renewals And Cs Operations
    Navan 2020 - 2020
    Palo Alto, California, Us
    • Joined one of the fastest growing SaaS startups (formerly TripActions), and led worldwide Renewal Sales, Customer Success Strategy, Operations, and Analytics• Owned and/or drove critical business metrics, including Renewal Revenue, Retention Rate, Churn Rate, NPS, Commission Design & Payout for the Worldwide Customer Success Org• Managed renewal book of business for 4,000+ customers (x billion $ of total budget under management and x million $ of platform revenue) and increased customer retention rate by x ppts in 3 months of building the renewal business and team. Built customer renewal journey based on MEDDIC sales framework with scalable and predictable account management strategies, operationalized automated vs. high-touch renewal processes, improved contract negotiation and pricing strategies, and developed company first renewal forecast and churn analysis attributed to business owners with actionable insights on a monthly basis• As the owner of Customer Success V2MOM for operations and efficiencies, led a cross functional team to develop frameworks and OKRs to measure performance 1x/week, improved processes and develop system solutions to increase team effectiveness and efficiency, led reporting for board of directors, executive team, and other leadership teams, and leveraged advanced analytics to predict customer health, drive customer adoption, improve retention, as well as increase subscription and usage revenue• Collaborated with leadership team and FP&A on resource and budget planning, variable compensation model design and rollout for specialized functions (CSMs, Specialists, Renewals), development of recurring and one-time SPIFF programs, target setting & alignment, developed global & regional coverage models, and optimized customer journey• Strategized and developed dashboards to monitor the customer success org performance, conducted analysis to identify root causes of key trends, and implemented initiatives to accelerate post-sale launch cycle
  • Docusign
    Director, Marketing Analytics
    Docusign 2016 - 2020
    San Francisco, Ca, Us
    • Built and led a high-performance team from the ground up, contributed to the company IPO (DOCU) in April 2018, partnered with the global marketing team and key sales and finance stakeholders to define frameworks for analyzing marketing results including reporting for board of directors, marketing ROI, campaign attribution and influence, and pipeline generation and acceleration• Hired, coached, and developed junior and experienced analytics professionals to foster career growth, guided team to extract insights and build stories to support executive-level presentations, and drove the development of advanced models and enablement of highly adopted dashboards• Built, automated, and led weekly sales pipeline updates with key insights and actions for global and regional go-to-market leaders for x years• Modernized best-in-class B2B lead scoring model via machine learning algorithms by leveraging both internal and external data sources• Built and scaled a few widely adopted dashboards across marketing, sales, business development, product, engineering, and finance, including data modeling, scripting, visualization, on-going maintenance, and user training• Collaborated with marketing program managers, marketing operations, sales operations, enterprise apps, and business intelligence on system, process, and database enhancement projects to build cutting edge data products• Built multi-product pipeline measurement framework to help Docusign transform from a single-product to multi-product company• Served on the data leader committee for Enterprise Data Platform migration from Azure SQL Server to Snowflake• Led deep dive analyses (i.e., predictive analytics, lead scoring, customer response journey, pipeline forecast, cohort analysis, sales capacity & productivity analysis, segmentation, velocity and conversion analysis, A/B testing, hypothesis testing, lift analysis), synthesized results and provided actionable insights to stakeholders
  • Qualcomm
    Business Intelligence & Analytics Lead
    Qualcomm 2011 - 2016
    San Diego, Ca, Us
    • Joined one of the largest tech companies at the time to revolutionize the mobile computing industry• Led BI function to build 50+ dashboard applications, by pulling big data from various sources, performing data integration & transformation, and utilizing best-in-class visualizations to enable data-driven storytelling• Served as a bridge between data and decisions, partnered with Boston Consulting Group and Paul Hastings, and provided data-driven recommendations to influence company-wide strategic decisions• Architected extremely complicated data flow processes to ensure best-in-class data models and visualizations across applications• Partnered with various business units to build robust models, processes, and metrics, and provide training to users • Provided advanced SQL, database design, architecture, and visualization training to analytics teams• Collaborated with IT teams to build and enhance database & data warehouse systems to ensure data quality and integrity to meet and even exceed business and customer needs• Used R, R Studio, and Weka to build data science models and influenced critical business decisions• Received 10+ QualStar (Qualcomm Star) Awards
  • Wolfspeed
    Software Application Developer
    Wolfspeed 2010 - Oct 2011
    Durham, North Carolina, Us
    • Led in-house built statistical process control software application, using .NET Framework (Visual Studio 2008/2010, VB.Net, C#, ASP.Net, SQL Server 2008/2010, SSRS, Crystal Report), to systematically collect data from manufacturing facilities, monitor manufacturing and engineering processes, provided support to design and manufacturing engineers, and ensured high-standard data quality throughout the entire manufacturing lifecycle• Worked with a group of software and database developers to design a variety of software applications, and deployed in a distributed environment for US and international manufacturing facilities with 7x24 capacity• Partnered with internal stakeholders, to clarify product and process requirements, developed use cases/scenarios/demos, and coordinated testing of newly developed and enhanced software applications• Created user training and support documentation, led training sessions and facilitated system improvements
  • On Top Of The World Communities
    Business Systems Analyst
    On Top Of The World Communities 2009 - 2010
    Ocala, Fl, Us
    • Used business analysis techniques to migrate a new Cable ERP system (including billing, customer service, IT support, financial reporting modules) on time and budget, and transformed many manual processes into system solutions• Involved in implementing SAGE Fixed Asset Management system to track fixed assets and to improve the tax and asset inventory management processes• Created use case diagrams to visualize business models and user requirements by interviewing users, and made process improvement recommendations• Coordinated with cross-functional teams in JAD meetings, managed user roles, developed security policies, and generated standardized invoices and billing reports for all customers• Gained fundamental knowledge of corporate finance and management accounting by supporting corporate finance professionals
  • Sea Turtle Conservancy, Inc.
    Web Analytics
    Sea Turtle Conservancy, Inc. 2008 - 2009
    Gainesville, Florida, Us
    • Conducted website requirement and usability analysis, worked on many aspects to revamp website, including cataloging and organizing website content, creating an improvement plan, as well as developing a modernized homepage layout• Worked with marketing team to implement revisions, and received positive feedback on usability and UI

Guan Wang Skills

Vhdl Verilog Matlab Vlsi Modelsim Computer Architecture C Perl Cadence Virtuoso Circuit Design Cadence Signal Processing Systemverilog Integrated Circuit Design Asic Rtl Design Machine Learning Control Systems Design Digital Electronics Logic Design Fpga Xilinx Xilinx Ise Proteus Business Intelligence Data Mining Data Analysis Sql Databases Predictive Analytics Analytics Operations Research Dashboards Segmentation Project Management Uml C# Lead Scoring Forecasting Data Visualization Business Analytics Web Analytics Data Warehousing Oracle Microsoft Sql Server Microsoft Excel .net Spss R Microsoft Project Marketing Attribution Decision Trees Text Mining Decision Support Linear Regression Time Series Analysis Survival Analysis Logistic Regression Sentiment Analysis Linear Programming Qlikview Development Weka A/b Testing Crystal Reports Business Analysis Visio Business Objects Quantitative Analytics Big Data Monte Carlo Simulation Kpi Ssrs Ssis Toad Unix

Guan Wang Education Details

  • University Of Florida
    University Of Florida
    Information Systems & Operations Management
  • Uc San Diego
    Uc San Diego
    Data Science

Frequently Asked Questions about Guan Wang

What company does Guan Wang work for?

Guan Wang works for Airtable

What is Guan Wang's role at the current company?

Guan Wang's current role is VP, Data @ Airtable | ex-Snowflake, Navan, Docusign.

What is Guan Wang's email address?

Guan Wang's email address is gu****@****ign.com

What is Guan Wang's direct phone number?

Guan Wang's direct phone number is +185884*****

What schools did Guan Wang attend?

Guan Wang attended University Of Florida, Uc San Diego.

What skills is Guan Wang known for?

Guan Wang has skills like Vhdl, Verilog, Matlab, Vlsi, Modelsim, Computer Architecture, C, Perl, Cadence Virtuoso, Circuit Design, Cadence, Signal Processing.

Who are Guan Wang's colleagues?

Guan Wang's colleagues are Luna Belle, Shubha Bhat, Jordan Daniel, Keegan Sprankle, Joanna Paik, Jamie Hill, Dan Weinberg.

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