Responsibility, accountability and impact. →
Follows instructions, completes routine tasks under close supervision, and requires guidance. Learns and applies basic skills and knowledge.
Assists and supports others, works under routine supervision, and uses discretion to solve routine problems. Actively learns through training and on-the-job experiences.
Performs varied tasks, including complex and non-routine, using standard methods. Plans and manages own work, exercises discretion, and meets deadlines. Proactively enhances their skills and impact.
Performs diverse complex activities, supports and supervises others, works autonomously under general direction, and contributes expertise to deliver team objectives.
Accountable for achieving workgroup objectives and managing work from analysis to execution and evaluation. Provides authoritative guidance in their field and works under broad direction.
Influences the organisation significantly, makes high-level decisions, shapes policies, demonstrates thought leadership, fosters collaboration, and accepts accountability for strategic initiatives and outcomes.
Determines overall organisational vision and strategy, operates at the highest level, and assumes accountability for overall success.
Data processing and analysis
Data Scientist
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Focus of the roleApplies data science and machine learning to produce insights, models and evidence for AI-enabled decisions.
SFIA 3
Applies established data science and machine learning methods to analyse datasets and support defined AI use cases.
SFIA 4
Designs and conducts data science work, selecting methods, models and visualisations for business questions.
SFIA 5
Leads data science initiatives, advising on methods, model suitability, evidence and analytical interpretation.
SFIA 6
Shapes data science practices, standards and capability for AI-enabled analysis across organisational areas.
Data Curation Lead
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Focus of the roleLeads curation, metadata, lineage, quality and stewardship of data assets used for analytics and AI.
SFIA 4
Defines and applies data curation standards, resolving quality, metadata and lineage issues across datasets.
SFIA 5
Leads data curation and stewardship practices, advising owners on trusted, reusable and compliant data assets.
SFIA 6
Sets data curation, stewardship and quality approaches for AI-ready data across organisational domains.
Data Analyst
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Focus of the roleAnalyses, validates and presents data to support business understanding and AI-related decision-making.
SFIA 2
Prepares data extracts and routine analysis using agreed tools, checking data quality and escalating issues.
SFIA 3
Analyses and interprets datasets, preparing visualisations and findings for defined business questions.
SFIA 4
Plans and performs complex analysis, selecting methods and advising on data quality and interpretation.
SFIA 5
Leads analytical work for business areas, advising on evidence, metrics and analytical limitations.
SFIA 6
Sets analytical approaches and standards for AI-related decision-making across organisational areas.
Data Engineer
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Focus of the roleBuilds and maintains data pipelines, platforms and models that supply reliable data for AI systems.
SFIA 2
Assists with data pipeline tasks, running checks and maintaining data assets using agreed procedures.
SFIA 3
Builds and maintains data pipelines and models using established patterns and quality controls.
SFIA 4
Designs and optimises data pipelines, integrating sources and addressing quality, security and lifecycle needs.
SFIA 5
Leads data engineering practices, advising on scalable pipelines, data architecture and operational reliability.
SFIA 6
Sets data engineering approaches and standards for AI-ready data services and platforms.
AI Data Trainer
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Focus of the rolePrepares, annotates and assesses training data and AI outputs for quality, bias and fitness for purpose.
SFIA 1
Applies simple labelling or checking instructions to defined data items and records uncertain cases.
SFIA 2
Labels and checks data using agreed annotation guidelines, recording issues and escalating uncertainty.
SFIA 3
Applies annotation, validation and evaluation methods to improve training data and AI output quality.
SFIA 4
Designs annotation guidance and quality checks, resolving data suitability, bias and consistency issues.
SFIA 5
Leads training-data quality practices, defining annotation guidance, review methods and issue escalation.
AI Business Analyst
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Focus of the roleConnects business needs, data opportunities and AI solution requirements across stakeholders and delivery teams.
SFIA 2
Assists with documenting AI-related business needs, data sources and process impacts using agreed templates.
SFIA 3
Elicits and documents AI-related needs, data requirements and process impacts for defined initiatives.
SFIA 4
Analyses business problems and AI options, shaping requirements, cases for change and adoption implications.
SFIA 5
Leads AI business analysis across initiatives, advising on benefits, risks, readiness and stakeholder alignment.
SFIA 6
Defines analysis approaches for AI-enabled change, shaping strategic options and organisational decision-making.
Development
AI Architect
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Focus of the rolePlans, designs and integrates AI architectures across data, model, software, platform and security concerns.
SFIA 4
Contributes to AI solution architectures, documenting options, interfaces, constraints and design decisions.
SFIA 5
Leads AI architecture work, integrating data, models, platforms, security and operational needs.
SFIA 6
Shapes AI architecture standards and patterns across initiatives, balancing business, technical, risk and governance needs.
AI Product Designer
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Focus of the roleDesigns AI-enabled product experiences, making model behaviour understandable, useful, accessible and trustworthy.
SFIA 3
Creates AI interaction concepts and prototypes, applying user needs, constraints and design patterns.
SFIA 4
Designs AI product experiences, addressing user control, uncertainty, accessibility, recovery and ethical considerations.
SFIA 5
Leads AI product design approaches, setting design patterns for trustworthy human-AI interaction across initiatives.
Focus of the roleDevelops, integrates, tests and supports AI models, components and AI-enabled systems.
SFIA 2
Assists with development, testing and documentation of AI components using agreed tools and patterns.
SFIA 3
Develops and integrates AI components using established methods, testing model behaviour and documenting results.
SFIA 4
Designs and implements AI components and integrations, addressing security, quality, scalability and deployment readiness.
SFIA 5
Leads AI engineering work, advising on model/system design, integration, testing and maintainability.
SFIA 6
Sets AI engineering practices and technical standards across products, platforms or organisational domains.
AI Application Developer
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Focus of the roleDesigns, develops and tests AI-enabled application features and integrations to meet solution specifications.
SFIA 2
Assists with coding, integration and testing of AI-enabled application features from defined specifications.
SFIA 3
Develops AI-enabled application features, integrating models and testing behaviour against specifications.
SFIA 4
Designs and implements AI application components, resolving integration, quality and user experience issues.
SFIA 5
Leads AI application development work, advising on design patterns, testing, security and maintainability.
AI Researcher
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Focus of the roleResearches AI methods, models and techniques to create new knowledge and improve AI capability and safety.
SFIA 3
Contributes to AI research experiments, collecting evidence and reporting findings using agreed methods.
SFIA 4
Designs and conducts AI research activities, testing hypotheses and evaluating models, methods and limitations.
SFIA 5
Leads AI research work, advising on research direction, experiment design, evidence quality and dissemination.
SFIA 6
Shapes AI research strategy and collaborations, setting priorities for methods, evidence and responsible research practice.
AI Quality & Evaluation Specialist
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Focus of the roleEvaluates AI systems, models and outputs against quality, robustness, fairness, safety and assurance criteria.
SFIA 3
Executes AI evaluation activities, records results and reports issues in model behaviour, data or integration.
SFIA 4
Plans and performs AI testing and evaluation, analysing robustness, fairness, explainability and compliance evidence.
SFIA 5
Leads AI evaluation practices across initiatives, advising on quality criteria, methods, evidence and acceptance.
SFIA 6
Sets approaches for AI evaluation, assurance evidence and quality standards across organisational domains.
Operations
AI Deployment Engineer
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Focus of the rolePackages, releases and promotes AI models and services into production in a repeatable, secure and controlled way.
SFIA 2
Assists with preparing AI releases, deployment records and environment checks following agreed procedures.
SFIA 3
Implements AI deployments, using agreed release, configuration and rollback procedures.
SFIA 4
Plans and coordinates AI deployments, managing environments, pipelines, controls and operational risks.
SFIA 5
Leads AI deployment practices, advising on production readiness, automation, release controls and operational feedback.
MLOps Engineer
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Focus of the roleDevelops and operates processes, tools and automation for the machine learning lifecycle in production.
SFIA 2
Assists with running MLOps workflows, maintaining pipeline records and checking model build or deployment outputs.
SFIA 3
Implements MLOps workflows for model build, deployment, monitoring and retraining using agreed tools.
SFIA 4
Designs and improves MLOps pipelines, integrating data, model, release, monitoring and change controls.
SFIA 5
Leads MLOps practices, advising on lifecycle automation, reliability, compliance and developer productivity.
SFIA 6
Sets organisational approaches for AI lifecycle engineering, tooling, automation and operational governance.
AI Reliability Engineer
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Focus of the roleImproves robustness, resilience, availability and fault tolerance of AI systems and pipelines in operation.
SFIA 2
Assists with reliability checks, service data collection and incident records for AI systems.
SFIA 3
Applies reliability tests and monitors AI services, identifying failures and contributing to corrective actions.
SFIA 4
Designs reliability checks, recovery mechanisms and resilience improvements for AI systems and pipelines.
SFIA 5
Leads AI reliability practices, advising on resilience, service levels, failure analysis and preventive controls.
SFIA 6
Sets reliability engineering approaches for AI systems operating at scale across organisational domains.
AI Observability & Monitoring Specialist
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Focus of the roleDefines and operates monitoring, dashboards and alerts for AI model, data and system behaviour in production.
SFIA 1
Checks defined AI monitoring outputs and records alerts or anomalies for review.
SFIA 2
Assists with AI monitoring, maintaining dashboards, running checks and escalating unexpected model or service behaviour.
SFIA 3
Monitors AI model and service behaviour, investigating alerts and reporting anomalies or drift.
SFIA 4
Defines AI observability measures, dashboards and alerting rules, diagnosing causes of performance or trust issues.
SFIA 5
Leads AI observability practices, advising on telemetry, thresholds, reporting and operational evidence.
AI Incident Response & Reporting Lead
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Focus of the roleCoordinates AI incident investigation, resolution, corrective action and reporting to stakeholders or regulators.
SFIA 2
Assists with AI incident records, evidence collection and status updates following response procedures.
SFIA 3
Applies AI incident procedures, investigates defined issues and prepares reports for escalation and resolution.
SFIA 4
Coordinates AI incident response, root cause analysis, corrective actions and stakeholder reporting.
SFIA 5
Leads AI incident response and reporting practices, advising on escalation, evidence, patterns and preventive measures.
SFIA 6
Sets AI incident response and reporting approaches across organisational services, governance and regulatory contexts.
AI Platform Engineer
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Focus of the roleManages shared infrastructure, environments, access and platform services for AI development and operation at scale.
SFIA 3
Builds and maintains AI platform environments, monitoring resources, access and operational issues.
SFIA 4
Designs and improves AI platform services, addressing compute, storage, access, automation and reliability.
SFIA 5
Leads AI platform engineering practices, advising on scalability, security, cost and service quality.
SFIA 6
Sets AI platform standards and operating approaches for shared infrastructure and services across organisational domains.
Support
AI Security Specialist
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Focus of the roleProtects AI solutions, models, data and services from AI-specific and conventional security threats.
SFIA 3
Applies AI security controls and investigates vulnerabilities or threats using agreed procedures.
SFIA 4
Assesses AI security risks and implements controls against threats to models, data, APIs and services.
SFIA 5
Leads AI security practices, advising on threat modelling, controls, monitoring and secure lifecycle integration.
SFIA 6
Sets AI security approaches and standards across systems, services and organisational domains.
AI Service Support Specialist
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Focus of the roleProvides user and technical support for AI-enabled services, escalating complex issues and feeding improvement needs.
SFIA 1
Receives and records AI service support requests, following scripts and routing issues to support teams.
SFIA 2
Handles routine AI service support requests, following procedures and escalating issues where needed.
SFIA 3
Diagnoses AI service issues, documents resolutions and guides users on safe and effective use.
SFIA 4
Coordinates AI service support practices, analysing recurring issues and recommending service improvements.
SFIA 5
Leads AI service support practices, advising on service standards, user guidance, issue trends and improvement actions.
Guidance
Focus of the roleDesigns, delivers and evaluates AI learning and literacy activities for professional and organisational needs.
SFIA 3
Delivers AI learning activities and supports assessment using agreed content, methods and learning outcomes.
SFIA 4
Designs and adapts AI learning programmes, assessing competence needs and learning effectiveness.
SFIA 5
Leads AI education and literacy programmes, advising on learning pathways, assessment and capability development.
SFIA 6
Sets organisational approaches for AI learning, literacy and competence development.
Focus of the roleProvides specialist advice on AI opportunities, risks, solution options and adoption approaches.
SFIA 4
Advises on AI options and use cases, assessing feasibility, risks and alignment with stakeholder needs.
SFIA 5
Leads advisory work on AI adoption, shaping proposals, business cases and mitigation approaches.
SFIA 6
Sets advisory approaches for AI exploitation, influencing strategic decisions, portfolios and organisational readiness.
AI Safety Specialist
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Focus of the roleIdentifies, assesses and mitigates AI safety risks across design, development, deployment and operation.
SFIA 3
Applies AI safety checks and documents risks, controls and issues within defined work areas.
SFIA 4
Conducts safety assessments and designs controls to reduce AI harms, misuse and operational safety risks.
SFIA 5
Leads AI safety practices, advising on safety standards, risk treatment, monitoring and incident response.
SFIA 6
Sets AI safety approaches and assurance expectations across organisational domains or high-risk contexts.
Responsible AI Officer
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Focus of the rolePromotes and oversees responsible AI policies, ethical reviews, impact assessments and organisational awareness.
SFIA 4
Conducts responsible AI reviews and impact assessments, advising teams on ethical risks and mitigations.
SFIA 5
Leads responsible AI practices, advising on ethics policy, assurance, awareness and lifecycle integration.
SFIA 6
Sets organisational approaches for responsible AI, shaping policies, governance processes and ethical assurance.
Sustainable AI Lead
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Focus of the roleGuides sustainable AI practices, assessing environmental and societal impacts across the AI lifecycle.
SFIA 4
Assesses AI sustainability impacts and advises teams on resource, lifecycle and reporting considerations.
SFIA 5
Leads sustainable AI practices, defining measures, guidance and improvement actions across initiatives.
SFIA 6
Sets organisational approaches for sustainable AI, shaping policy, standards and reporting expectations.
Human-AI Interaction Lead
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Focus of the roleDefines and evaluates human-AI interactions, oversight arrangements and competence requirements for human decision roles.
SFIA 3
Applies defined methods to analyse human-AI interactions, documenting user needs, oversight points and issues.
SFIA 4
Designs and evaluates human-AI interactions, addressing oversight, usability, trust and intervention needs.
SFIA 5
Leads human-AI interaction practices, advising on oversight frameworks, training and operational evidence.
SFIA 6
Sets organisational approaches for human-AI interaction, oversight, accountability and competence requirements.
Management
AI Transformation Lead
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Focus of the roleLeads AI-enabled organisational transformation, adoption, capability development and business change.
SFIA 5
Leads AI transformation activities, aligning change plans, benefits, capability development and stakeholder engagement.
SFIA 6
Shapes AI transformation strategy and operating model changes across significant organisational areas.
SFIA 7
Sets enterprise direction for AI-enabled transformation, mobilising leadership, resources and governance.
Chief AI Officer (CAIO)
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Focus of the roleDefines organisational AI strategy, governance, portfolio direction and accountability for responsible AI adoption.
SFIA 6
Shapes organisation-wide AI strategy, governance, portfolio priorities and risk approaches with senior stakeholders.
SFIA 7
Sets enterprise AI vision, risk appetite and strategic accountability, mobilising organisational leadership and resources.
AI Tech Lead
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Focus of the roleProvides technical leadership for AI solution design, engineering practice, model development and delivery quality.
SFIA 4
Guides AI technical work within a team, reviewing designs, code, models and engineering practices.
SFIA 5
Leads AI technical delivery, setting standards and advising on architecture, quality, risks and maintainability.
SFIA 6
Shapes AI engineering approaches and technical standards across multiple teams, products or platforms.
Focus of the roleManages AI teams, resources, performance and capability to support delivery of AI work.
SFIA 5
Manages AI team performance, resourcing, development and delivery alignment across work areas.
SFIA 6
Shapes AI workforce capability and resource approaches across organisational areas, aligning teams to strategic objectives.
AI Product Manager
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Focus of the roleManages AI product vision, requirements, roadmap, stakeholder alignment and performance across the product lifecycle.
SFIA 3
Supports AI product management activities, maintaining backlog information, metrics and stakeholder feedback.
SFIA 4
Manages AI product requirements and priorities, coordinating stakeholders and validating product performance.
SFIA 5
Leads AI product management, advising on roadmap, value, risk, adoption and lifecycle decisions.
SFIA 6
Shapes AI product strategy and portfolio direction across significant product or service areas.
AI Operations Manager
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Focus of the roleManages AI operations, resources and services to maintain reliable, secure and compliant production AI systems.
SFIA 4
Coordinates AI operations activities, monitoring service performance, incidents, changes and improvement actions.
SFIA 5
Leads AI operations management, ensuring service quality, resources, controls and operational risk treatment.
SFIA 6
Shapes AI operations approaches across organisational services, aligning operations with strategy, governance and compliance.
AI Project Manager
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Focus of the rolePlans, coordinates and manages AI projects to deliver agreed outcomes, controls, communication and stakeholder alignment.
SFIA 4
Manages AI project activities, coordinating scope, schedule, stakeholders, risks and delivery evidence.
SFIA 5
Leads complex AI projects, advising on planning, governance, risk, quality and stakeholder engagement.
SFIA 6
Shapes project management approaches for AI initiatives across programmes, portfolios or organisational areas.
Governance
AI Governance Officer
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Focus of the roleDefines, implements and oversees AI governance frameworks, policies, decision rights and organisational controls.
SFIA 5
Leads AI governance activities, coordinating policies, controls, committees, reporting and improvement actions.
SFIA 6
Shapes organisation-wide AI governance frameworks, aligning decision rights, risk controls and accountability expectations.
SFIA 7
Sets enterprise AI governance direction, establishing executive oversight, risk appetite and accountability structures.
AI Compliance Officer
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Focus of the roleAssures compliance of AI development, deployment and use with laws, regulations, standards, policies and ethical practices.
SFIA 3
Assists with AI compliance checks, gathering evidence and documenting findings against agreed requirements.
SFIA 4
Coordinates AI compliance assessments, documentation and evidence within defined organisational or regulatory requirements.
SFIA 5
Leads AI compliance activities, advising on obligations, controls, reporting, suppliers and corrective actions.
SFIA 6
Shapes AI compliance approaches across organisational domains, aligning policy, assurance and regulatory engagement.
AI Risk Manager
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Focus of the roleIdentifies, assesses, monitors and reports AI-related risks across technical, operational, legal and business contexts.
SFIA 3
Maintains AI risk information, supports assessments and tracks mitigation actions using agreed processes.
SFIA 4
Conducts AI risk assessments and maintains risk information, escalating treatment decisions and emerging issues.
SFIA 5
Leads AI risk management activities, advising on risk controls, monitoring, reporting and prioritisation.
SFIA 6
Shapes AI risk management approaches across organisational domains, aligning controls with enterprise risk appetite.
SFIA 7
Sets enterprise AI risk strategy, risk appetite and accountability expectations across the organisation.
Focus of the rolePerforms independent audits of AI systems, controls, evidence and compliance with policy, standards and regulation.
SFIA 3
Executes defined AI audit fieldwork, gathering evidence, documenting findings and maintaining audit trails.
SFIA 4
Contributes to AI audits by assessing evidence, testing controls and documenting findings and risks.
SFIA 5
Plans and conducts AI audits, evaluating controls, evidence, model behaviour and compliance arrangements.
SFIA 6
Leads AI audit programmes, setting audit approaches, obtaining specialist input and reporting assurance conclusions.