Future Roles · Data & Analytics
School Practitioner
Based on: Knowledge Worker / Analyst / Specialist Consultant
The AI-augmented knowledge worker operating at the front line of an ocean organisation — a practitioner who carries deep domain expertise into close partnership with AI, producing insight that neither could generate alone. The School Practitioner is the unit of productive capability in the ocean: their judgement directs the AI, their expertise validates its output, and their Creed governs what it will and will not produce.
Human core
The capabilities that remain irreplaceable — the human element that AI augments but cannot substitute.
- Domain expertise deep enough to evaluate AI output critically — the thing AI cannot supply and cannot substitute for
- Creed-grounded decision-making — knowing what the work will not produce, even when no one is watching
- Adversarial review discipline — treating AI output as a hypothesis to be tested rather than a conclusion to be accepted
AI capabilities
Where AI tools extend what this role can achieve — the augmentation layer that multiplies human output.
- Skill template operation and prompt iteration — building effective working patterns that compound into reusable Reef knowledge
- Adversarial loop execution — using AI to challenge its own outputs before passing work downstream
- Output validation against domain knowledge — maintaining the human quality layer that keeps AI-augmented work at depth
Data & Analytics — inherited foundations
Core human skills and AI foundations shared across all roles in the Data & Analytics family.
Human skills
- Critical thinking
- Communication of complex findings
- Stakeholder interrogation
- Ethical data stewardship
AI foundations
- AI-assisted analysis and modelling
- Prompt engineering for data tasks
- Output validation and hallucination detection
- Responsible AI use in analytics pipelines
SFIA skills
Relevant skill codes from the SFIA framework — the global standard for digital and technology workforce planning.