BI Analyst (Training Specialist/Looker Gemini)
Role details
Job location
Tech stack
Job description
Design and scale the enterprise capability model for Looker and Looker Gemini (GenBI), ensuring colleagues have the skills, tools and accreditation needed to adopt, build and scale GenBI in a federated operating model. This will enable the organisation to scale GenBI, without creating dependency on central teams., 1. Learning Strategy & Training Ecosystem
- Integrate Looker learning pathways within our AI Academy for different personas (Builder, User, Enabler, Leader) and align to our BI & Analytics job families
- Stand up and integrate the learning ecosystem, including:
- Self-Serve Learning Portal
- Virtual Classroom learning
- Hands-on labs and sandbox environments
- Playbook and training standards
- Accreditation & Capability Framework
- Design and implement a formal accreditation model, including:
- required learning pathways
- competency thresholds
- certification routes
- Align accreditation to roles (eg Builder readiness) and delivery eligibility
- Enable Federated Capability
- Support business domains to:
- build internal GenBI capability
- embed trained builders into teams
- adopt train the trainer
- Reduce reliance on CoE by enabling self-service learning and federated delivery capability
Key Deliverables (2026)
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Integrated GenBI learning pathways (AI Academy aligned)
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Google Learning Portal integrated into pathways
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Labs/sandbox capability operational
Requirements
- Skills are measured and managed as a capability
- Domains begin to deliver GenBI with reduced central dependency
Profile & Experience
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Strong experience in:
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enterprise learning/capability building
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digital or data transformation programmes
Experience designing:
- role-based learning pathways
- accreditation/certification models
Familiar with:
- Google Cloud tooling - Looker and BigQuery (desirable)
- GenAI/AI literacy programmes (desirable)
Strong stakeholder engagement across:
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HR/L&D
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technology teams
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business domains