+ Microsoft Azure AI Fundamentals certification
Public Sector Data for Smarter Work Programme
+ Microsoft Azure AI Fundamentals certification
Programme overview
Delivered through the Level 3 Data Technician Apprenticeship, the programme develops practical data, AI and workplace capability from junior data roles upwards while strengthening communication, judgement and responsible handling of data.
The programme is aligned to University of Birmingham’s 21st Century Public Servant research on the importance of digital confidence, adaptability, communication and relationships in modern public services.
Skills and capabilities developed
Evidence & outcomes
Our programmes deliver measurable improvements in data capability, human-centred management capability and organisational performance.
Microsoft AI Certification Included
Microsoft Azure AI Fundamentals included
Ofsted rated "good"
With 53% of participants promoted during or after the programme
100%
85%
Distinction rate across programmes, and 100% pass rate
Programme positioning
Who is this
programme for?
From junior data roles and support roles upwards, this programme is for public sector employees responsible for collecting, preparing, checking or communicating data to support everyday work and better decisions. The role applies broadly across operational, service, performance and reporting environments.
The role applies broadly across teams, functions and sectors. Typical job titles include Data support analyst, Data technician, Junior data analyst and Junior information analyst.
- Data support analysts
- Data technicians
- Junior data analysts
- Junior information analysts
- Junior MI or reporting roles
- Operations support roles using data
- Performance support roles
- Data administration roles
- Customer or service support roles
- Team support roles using data
- Workflow or reporting support roles
- Operational coordination roles
- Junior finance data roles
- Junior people data roles
- Business intelligence support roles
- Data handling roles across teams
Where this
programme fits
This programme builds the foundational data, AI and human-centred capability public sector organisations increasingly rely on to improve data quality, support decisions and strengthen everyday performance.
It forms part of Future Talent Learning’s broader approach to building human, management and AI capability across the workforce.
Capabilities developed
Participants strengthen practical data, AI and human-centred capability required to make data more reliable, more usable and more valuable to public sector organisations.
Organisational outcomes
Public sector organisations typically use this programme to strengthen data capability from junior roles upwards and improve how data is collected, checked, shared and used in everyday work.
Why this programme?
Our programme helps public sector organisations improve the way work gets done by making data more accurate, more usable and easier to act on.
It develops the capability to collect, prepare, check and communicate data confidently, alongside the management and human-centred skills needed to build trust, support decisions and improve performance.
Levy-funded data capability
AI-enabled learning platform
Supported by Microsoft with AI certification
Built-in professional practice layer
Time-efficient:
learning fits the working week
The real constraint with professional development is rarely funding — it is time.
Our programmes are designed to work with the flow of real work, not compete with it.
Participants typically commit around four hours per week, combining structured learning, coaching and applied missions directly linked to their role.
This ensures development strengthens day-to-day performance while building capability for the future.
12 month programme overview
Structured curriculum missions are combined with live workshops and peer learning so participants build capability progressively through real work. For more detail download the programme prospectus.
Curriculum missions
The programme is structured around 12 practical monthly missions linked to real data, quality and public service workflow challenges.Find and understand data
Identify sources, types and storage formatsExtract and format data
Create clean datasets using agreed standardsProtect data and use it responsibly
Apply secure handling, anonymisation and good judgementCheck and improve data quality
Validate, fix errors and improve reliabilityCombine and reconcile data
Join sources and resolve differences carefullyDocument and audit the data
Create traceability, assumptions and audit trailSummarise and explore the data
Filter, sort and identify useful patternsVisualise what matters
Use tables, charts and dashboards clearlyForecast and assess future scenarios
Explore scenarios and interpret results carefullyShare data safely and effectively
Store, manage and distribute data compliantlySupport decisions and improvement
Translate findings into actions and next stepsEmbed quality & continuous improvement
Improve standards and maintain consistencyLive learning events
Live learning workshops allow participants to practise new approaches, discuss real public sector data challenges and deepen understanding through guided discussion.How to find the right data sources
Identify the most relevant and reliable inputsUnderstanding data types and formats
Work confidently with different data structuresHow to extract and structure data
Create usable datasets for analysis and reviewHow to format datasets clearly
Apply standards that improve consistency and usabilityHow to handle data securely
Protect data and work responsiblyGDPR and anonymisation in practice
Use good judgement with sensitive dataHow to improve data quality
Reduce errors and strengthen trust in outputsHow to combine datasets safely
Join sources and maintain accuracyHow to check and validate data
Cross-check outputs and spot faults earlyHow to use spreadsheets for analysis
Use practical spreadsheet tools with confidenceHow to build clear tables and charts
Present the right view for the audienceHow to use AI safely for data tasks
Use AI responsibly to support everyday data workHow to manage stakeholders
Map interests and build alignment earlyHow to frame problems
Define the right question before analysingHow to present with visual impact
Make charts and findings easier to understandHow to influence with data
Use insight to shape conversations and decisionsLeading change
Support teams through change and organisational transformationCollaboration
Work effectively across operational, digital and technical teams.Problem solving
Use structured thinking to diagnose and solve complex problemsStakeholder management
Align stakeholders around automation priorities and improvement goals.Live peer study groups
Monthly coach-facilitated sessions provide a structured space to exchange ideas, share challenges and explore how learning can be applied in real public service contexts.How clean is ‘clean enough’ when the deadline is tight?
Balance quality, pace and practical needsIf two data sources disagree, which one do you trust — and why?
Compare evidence and explain your judgementWhen should you anonymise data — and how much is enough?
Apply sound judgement to privacy and riskHow do you explain data issues without sounding defensive?
Communicate clearly while protecting trustWhat’s the best way to challenge a request that isn’t GDPR-safe?
Raise concerns confidently and constructivelyWhen is a chart useful — and when does it just create noise?
Choose visuals that actually help others actHow do you keep an audit trail without creating admin overload?
Balance compliance, traceability and practicalityWhat’s the simplest analysis that still helps someone act?
Focus on usefulness rather than over-workHow do you make data more usable for non-technical colleagues?
Adapt communication for different audiencesWhen priorities change, how do you re-scope cleanly?
Protect value while adjusting the workHow do you improve standards without slowing everyone down?
Balance consistency, pace and everyday practicalityHow do you make better data habits stick?
Support follow-through, trust and continuous improvementWeekly delivery model
Structured learning: approx. 4 hours per week
50%AI-enabled learning + human coaching + interactive workshops
Participants build capability through a blend of:• self-paced learning modules
• interactive live workshops
• guided exploration using AI learning tools
• peer study groups and coaching support.
These sessions introduce practical frameworks, tools and approaches that can be applied immediately at work.
Applied learning in the workplace: approx. 4 hours per week
50%Applied & project-based learning
Participants apply learning directly to real workplace challenges through monthly missions and work-based data and insight tasks. Learning strengthens existing work.This ensures development is:
• immediately relevant
• visible to the organisation with measurable productivity improvements
• embedded in day-to-day performance
The FTL learning experience
Real workplace challenges drive learning.
Participants apply new skills directly to their role through structured monthly missions linked to real organisational priorities.
Related programmes and pathways
Public Sector Data and AI Insight Management Programme
12 months
Public sector professionals improving reporting, analysis or decision-making using data
Build practical data, AI and management capability to turn data into insight, improve decision-making across public sector organisations
Public Sector AI and Digital Product Management Programme
14 months
Public sector professionals shaping digital products, service journeys or product delivery
Build practical product management, AI-enabled delivery and human-centred capability to shape, improve and deliver digital products for PS organisations
Public Sector AI for Smarter Work Programme
12 months
Public sector employees building practical AI and digital productivity skills
Build confidence using AI tools, digital workflows and automation to improve productivity, service and everyday work across public services
An outstanding programme to accelerate the development of future leaders. — Roger Minton, Head of Leadership, Anglo American
FTL’s highly customised programme has become the core of our management development strategy. The FTL team are slick, knowledgeable, responsive and a pleasure to work with. - Nick Dormor, Senior Learning Specialist, Babcock
FTL provides top-tier, highly engaging, innovative and effective methods of learning, leading to high success rates and impact that line managers can observe. — Ofsted, Sept 2024
Frequently asked questions — Level 3 Data Technician Apprenticeship
The Level 3 Data Technician Apprenticeship develops professionals who collect and process data under the guidance of senior colleagues, helping teams use data more accurately, securely and effectively. Typical job titles include Data support analyst, Data technician, Junior data analyst and Junior information analyst.
It also develops the human-centred and professional practice skills needed to make data useful in real work, including communication, judgement, consistency and trust.
The programme is aligned to University of Birmingham’s 21st Century Public Servant research, which highlights the importance of digital confidence, adaptability, communication, relationships and working across complexity in modern public service work.
That is why the programme combines practical data capability with judgement, communication, trust and continuous improvement, rather than treating data work as a purely technical discipline.
The Public Sector Data for Smarter Work Programme, delivered through the Level 3 Data Technician Apprenticeship, develops practical capability to collect, prepare, check and communicate data confidently and responsibly across public sector environments.
Participants also strengthen communication, judgement, stakeholder support and continuous improvement capability, helping them make data more reliable, more usable and more valuable in everyday public service work.
The Level 3 Data Technician Apprenticeship is suitable for people working across junior data, reporting, support and information roles. It is especially relevant for earlier-career employees and support roles where people need to handle data carefully and help others use it effectively.
The Level 3 Data Technician Apprenticeship prepares people to work with data through practical tasks such as sourcing data, formatting datasets, checking quality, combining sources, building tables and charts, storing data securely and helping colleagues use findings in real work.
In public services, that can mean supporting reporting, service data, resident information, operational workflows or management information that helps teams make better day-to-day decisions.
No. The Level 3 Data Technician Apprenticeship is not a specialist engineering programme. It is designed for people working in practical, business-aligned data roles rather than advanced technical roles.
The focus is on collecting, preparing, checking and communicating data, plus using AI tools safely where useful to improve everyday work.
Yes. The Level 3 Data Technician Apprenticeship is fully fundable through the Apprenticeship Levy, with a funding band of £12,000.
It gives public sector employers a levy-funded route to build practical data and AI capability alongside the human-centred management capability needed to improve trust, communication and everyday performance.
FTL delivers the Level 3 Data Technician Apprenticeship as a 12-month programme with 12 applied missions, followed by end-point assessment readiness. The current occupational standard is in revision nationally, but remains live for delivery.
Participants typically commit around four hours per week of protected learning time while applying learning directly in role.
Participants achieve the Level 3 Data Technician Apprenticeship, aligned with the national occupational standard.
Learners also gain Microsoft Azure AI Fundamentals certification, strengthening practical capability using AI tools.Many data courses focus only on tools or isolated technical tasks. The Level 3 Data Technician Apprenticeship focuses on applying data work in real organisational contexts, including data quality, secure handling, communication, support for decisions and continuous improvement.
It also develops the professional habits that make data work more useful in practice, including judgement, consistency, stakeholder communication and trust.
Speak to our team
Get in touch to explore how this programme could support your workforce development priorities and strengthen foundational data, AI and workplace capability across your public sector organisation.
We’ll get back to you within one working day.