Hi, I'm Kelvin Kwong - Data and AI Team Manager at Meta
I thrive on transforming complex data into actionable insights, leading teams to build and scale AI solutions that optimize enterprise operations. My passion is driving data-driven decision-making and fostering innovation at the intersection of technology and business strategy.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Managed Business Intelligence programs at Google and Meta, driving projects from conception through implementation.
Leads a Data and AI team at Meta, applying advanced analytical solutions to optimize enterprise-wide operations at scale.
Can help others by sharing best practices for scaling data and AI teams in large tech organizations.
🚀 Career trajectory
Foundation in Data Science
Began career as a Data Scientist at Zendesk, building foundational analytical skills.
✦ Data Science
✦ Zendesk
Scaling Business Intelligence
Transitioned to Business Intelligence Program Management at Google, then Meta, focusing on strategic data initiatives.
✦ Business Intelligence
✦ Program Management
✦ Meta
Leading Enterprise AI Initiatives
Currently managing a Data and AI team at Meta, applying advanced solutions to enterprise-wide challenges.
✦ AI
✦ Data Strategy
✦ Team Leadership
✦ Meta
💪🏻 Superpowers
Enterprise AI & Analytics Architect
Optimizing global operations with advanced data solutions.
✦ Leading a Data and AI team within Meta's Enterprise Solutions.
✦ Applying AI and analytical solutions to optimize resources and processes.
✦ Ensuring solutions meet the scale of Meta's global workforce.
Data-Driven Decision-Making Catalyst
Transforming Fortune 500 companies through insights.
✦ Over 15 years of experience in analytics and consulting.
✦ Led and grew data teams for data-driven decision support.
✦ Specializing in analytics for partner and client organizations.
Cross-Functional Program Management
Bridging business needs with technical execution.
✦ Managed Business Intelligence programs at Google and Meta.
✦ Drove projects from conception through implementation.
✦ Ensured alignment between business goals and data initiatives.
I'm excited about
✦ Connecting with AI ethics leaders and thought partners.
✦ Exploring collaborations on cutting-edge enterprise AI applications.
✦ Seeking opportunities to mentor emerging data science talent.
I can help with
✦ Share best practices for scaling data and AI teams in large tech.
✦ Provide insights into optimizing enterprise resource allocation via analytics.
✦ Offer guidance on navigating complex organizational data structures.
I would love your help on
✦ Recommendations for emerging AI research relevant to enterprise solutions.
✦ Introductions to innovators in AI-driven process automation.
✦ Advice on fostering a culture of data literacy across non-technical departments.
