ISAAC WOOTEN
Twelve years designing Google Cloud. Today I lead the team behind BigQuery’s AI-native tools.
Agentic BigQuery, BigQuery Studio and the Data Agent Kit are live on a top-3 revenue product in Google Cloud. Built by a team I grew from five to eleven, with patterns adopted across the org.
Twelve years on the same products, from individual contributor to design manager. I lead the developer-experience design team in Data Cloud UX: Agentic BigQuery, BigQuery Studio, Databases Studio, the Data Agent Kit for VS Code and Data Apps for Notebooks.
My depth is data and big-data tooling: BigQuery, Dataflow, Dataproc, Dataplex, Pub/Sub, Spark. Data is the substrate of modern AI, and the analysts and engineers who work it are exactly who the agentic era has to serve. At the center is BigQuery, a Gartner Magic Quadrant leader and a top-3 revenue product in Google Cloud.
Still technical
I read the code and the Figma. It makes calls faster, earns engineers' trust and keeps design grounded.
Growing designers
Grew the team from five to eleven. Hiring, mentoring and calibration with one goal: designers leave more senior than they arrived.
Direction over decisions
Sharp intent and a high bar, not sign-off on every screen. Direction scales. Bottlenecks don't.
Influence at scale
Design lead in a 2,800-person org. Landing work at that scale is influence, not authority: build the case until the right work is the obvious work.
Set a high bar and a sharp direction, then give designers the context and cover to do the best work of their careers.
How I lead
Agentic tools follow the developer across surfaces. I design for all of them.
Web
BigQuery Studio, Databases Studio, and the analytics console, where agentic assistance meets the canvas.
IDE
The Data Agent Kit for VS Code, bringing data agents into the editor where engineers live.
Notebooks
Data Apps for Notebooks, turning exploratory analysis into shareable, AI-assisted apps.
CLI & API
Agent and tooling surfaces for terminal-first and programmatic workflows, design that respects how power users build.
Mobile
Monitoring and insight on the go, so the data experience isn't chained to a desk.
Agentic core
Agentic BigQuery, weaving AI through the data workflow itself rather than bolting a chatbot on the side.
Lead designer on four Cloud surfaces before the data years, 2014 to 2021. Shipped product UI, as it looked at the time.
Pixels, then patterns, then people. Twelve years, IC to manager:
- Sr. Staff UX Design ManagerCloud Data Analytics · team of 6 (senior+)Nov 2024–Present
- UX Team Lead / ManagerCloud Data Analytics · team of 10Apr 2024. Nov 2024
- Staff UX Design Lead & ManagerData Analytics · Streams & LakesJul 2023. Apr 2024
- Staff UX DesignerData Analytics · Streams & LakesFeb 2022. Jul 2023
- Staff Interaction Designer / UX EngineerGoogle CloudJul 2018. Jun 2021
- Staff UX ArchitectGoogle Cloud PlatformJan 2016. Jul 2018
- Senior Interaction DesignerStackdriver · Cloud DiagnosticsMar 2014–2016
Products I led or oversaw design for, with research, engineering and product.
Data & analytics
- BigQuery
- BigQuery Studio
- Agentic BigQuery
- Databases Studio
- Data Agent Kit (VS Code)
- Data Apps for Notebooks
- Dataflow
- Dataproc
- Dataform
- Dataplex
- Composer
- Pub/Sub
- Kafka
- Flink
- Spark
Observability, security & platform
- Cloud Trace
- Cloud Profiler
- Cloud Debug
- Cloud Logging
- Error Reporting
- Cloud Security Command Center
- Network Topology → Anthos Service Mesh
- Terraform Blueprints & onboarding
- Critical User Journeys (GCP)
- Perceived-performance patterns
- 3rd-party auth & data regionalization
Capabilities
- Design leadership & management
- UX architecture
- Developer experience (DX)
- Data & AI product design
- Design patterns & systems
- Cross-org strategy
- Cloud & enterprise UX
- Mentorship
The full role history lives on LinkedIn.
Connect on LinkedIn ↗