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.