Leading the deployment of improvement & sustainability strategies
Improvement Specialist Apprenticeship
End Point Assessment Centre
14 months (this does not include EPA period)
Our Green Skills Pathway
Employers could get £1,000 each for taking on an apprentice who is either:
- aged 16 to 18 years old, or
- aged 19 to 25 years old and has an education, health and care (EHC) plan or has been in the care of their local authority
What you can use the payment for
The payment is different to apprenticeship levy funds, so you can spend it on anything to support your organisation’s costs. For example, on uniforms, your apprentice’s travel or their salary. You do not have to pay it back.
To read the full Apprenticeship Standard: Click here
Who is this course suitable for?
The role of Improvement Specialist is typically office-based but involves working wherever their improvement activities are focused, for example they could be delivering training in a classroom environment, they could be working on the shop-floor or at a supplier premises.
Roles are commonly found in all industry sectors and functions including Automotive, Pharmaceutical, Telecommunication, Retail, Finance, Food, Drink, Travel and Leisure, Local and County Councils, NHS, Voluntary / Charity, Utilities, Pharmaceuticals, Insurance and Hospitality. Job titles associated with the Specialist occupation include, but are not limited to: Business Improvement Expert, Continuous Improvement Consultant, Process Excellence Manager, Lean Six Sigma Black Belt, Business Improvement Consultant, Business Transformation Consultant, Environmental Manager, Engineer (Environmental, Mechanical, Geotechnical, Civil, Chemical, etc.), Environmental Data Analyst, Environmental Health and Safety Manager.
Green job titles
- Environmental improvement compliance manager
- Environmental improvement manager
- Business sustainability improvement consultant
- Environmental improvement data analyst
- Environmental improvement health and safety manager
- Environmental improvement health and safety officer
Roles & Responsibilities may include:
- Leading the local deployment of improvement strategy; supporting delivery of business goals, for example they may model critical process inputs to enable root causes of complex problems to be verified or they may develop bespoke measurement processes to enable the collection of good-quality data in support of change
- Providing technical expertise in structured Improvement methods and advanced tools such as Multiple Regression and Designed Experiments to analyse relationships between inputs and outputs
- Leading advanced and/or cross-functional Improvement projects such as process re-engineering and change programmes reducing energy consumption/waste; or reducing defects on complex products.
- Co-ordinating Practitioner-level Improvement training, activities and projects; for example, they may deliver Lean Six Sigma Green Belt training and coaching to an awarding body accreditation standard
- Coaching, mentoring and communicating with Improvement Practitioners, business leaders and stakeholders
These are the personal attributes and behaviours expected of all energy specialists carrying out their roles
- Drive for results: Co-ordinates and delivers sustained improvement across the business by engaging with, and inspiring stakeholders; adopting a can-do attitude
- Team-working: Leads cross functional project teams proactively, regularly supports others and replicates learning
- Professionalism: Exemplifies high standard of professional integrity, ethics and trust within the organisation, whilst maintaining flexibility to the needs of the business
- Process Thinking: Drives process-thinking and customer-focused, data-driven decision making
- Continuous development: Identifies & models opportunities for development of self & others
- Safe working: Adopts a proactive approach to safety, encouraging others and suggesting compliance improvements
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OCCUPATIONAL BRIEF OF STANDARD
Improvement Specialists have the Knowledge and understanding of:
- Leading improvement teams: Personality types, team development stages, motivational techniques, situational leadership, learning styles, mentoring models
- Project planning: Multi-element business case, financial plan, benefits realisation plan, risk management plan, project plan
- Project reviews & coaching: Coaching models, Maslow’s hierarchy of needs
- Change planning: Change management methods, impact/readiness, influencing strategies
- Commercial environment: Business and economic risks including changes in legislation, government regulation or trading condidtions that can impact all aspects of improvement from Project Selection through to selection/implementation of improvements
- Principles & methods for Improvement: How to apply Improvement Methods (eg. Practical Problem Solving, Define-Measure-Analyse-Improve-Control, 8-Disciplines, Identify-Define-Optimise-Verify) across all functions, policy deployment principles, Lean culture
- Voice of the customer: Interviewing and focus groups, Quality Function Deployment principles and how to build a House of Quality
- Process mapping & analysis: Activity network diagrams, design structure matrix, process modelling, key function diagrams and analysis
- Data acquisition planning: Stratification, rational sub-groups, power and sample size
- Statistics & measures: Probability distributions and how to test for fit of probability distributions to data. Confidence intervals, central limit theorem. How to test data for stability and normaility and strategies for dealing with non-stable or non-normal data
- Lean concepts and tools: Principles of Lean Thinking and Lean tools including origins and cultural aspects critical to successful application within an organisation.
- Measurement system analysis: Repeatability & Reproducibility analysis. Long term measurement error
- Process capability: Data transformation, life data analysis and prediction
- Root cause analysis: Matrix plots, multi-vari charts, hypothesis testing principles and methods, correlation and regression principles and methods
- Experimentation: Principles of full and fractitional designed experiments including replicates, repeats, randomisation, blocking and centre points, resolution and confounding. Planning and analysis using residuals, main effects & interaction plots, hierarchy of terms, Response Surface Method, Split plots, Analysis of variance (ANOVA). Approaches for model optimisation
- Identification & prioritisation: Creativity tools e.g. theory of inventive problem solving (TRIZ), Pugh matrix
- Failure mode avoidance: System state flow, boundary diagram, interface analysis tables, fault tree analysis, robustness checklist, tolerance design and analysis. Principles and links between Failure Modes and Effects analysis for concepts, designs, processes.
- Sustainability & control: Control and reaction plans. Prevention controls
Improvement Specialists have the following Skills:
- Leading improvement teams: Holding team members/stakeholders to account for delivering agreed actions within an improvement project and building/maintaining appropriate stakeholder relationships inside and outside the organisation to deliver improvement project objectives
- Strategic Deployment of Continuous Improvement: Contribute to deployment of improvement strategy, participating as an active member of the improvement community
- Communication: Prepare and present concise proposals and plans. Capture and share progress through effective formats and channels. Use and handle questions effectively. Build rapport with others.
- Capability Development: Train, facilitate and critique the application of tools used by improvement practitioners including tool-selection, links between tools, how they are used within a structured method, analysis of results and presentation of recommendations
- Project planning: Plan and manage finances, multi-stakeholder delivery and benefits realisation
- Change planning: Design reinforcement, engagement and communication strategies
- Principles and Methods for Improvement: Guide others on the selection of appropriate methods (e.g.. Practical Problem Solving, Define-Measure-Analyse-Improve-Control, 8-Disciplines, Identify-Define-Optimise-Verify) to deliver improvements. Conduct gateway assessments to ensure suitability of projects to progress
- Project selection & scope: Guides others on the selection and scoping of improvement projects and the initial response to product/process performance issues. Identify, scope and prioritise improvement opportunities that map to high-level organisation objectives and key value-streams
- Process mapping & analysis: Guide others on the selection of appropriate process mapping and analysis tools. Critique improved state
- Lean tools: Identify and analyse value-streams using appropriate methods and tools to optimise flow to customer. Develop a plan for Lean deployment within the organisation including effective and relevant performance metrics.
- Measurement: Guide others on the planning, analysis and interpretation of data collection & measurement studies including the design of tests to recreate failures & steps to diagnose/reduce short & long-term measurement variation
- Statistics & measures: Confirm data and fit for a range distribution models. Establish predictions. Calculate confidence intervals
- Data analysis-statistical methods: Model random behaviour and make inferences with levels of confidence. Calculate/recommend sample size. Test hypotheses for all data types. Assess input/output correlation. Generate, analyse and interpret simple and multiple predictive relationship models
- Process capability & performance: Identify data stability/distribution issues and apply appropriate strategies to enable robust Capability Analysis. Analyse life data to establish rates and patterns
- Root cause analysis: Make appropriate use of data to assess contribution of critical inputs/root cause(s) to product/process performance using appropriate graphical and statistical tools to draw and communicate conclusions
- Experimentation & optimisation: Guide others on the planning, analysis and interpretation of experiments. Plan, conduct, analyse and optimise both full & fractional experiments
- Data analysis – Statistical Process Control: Monitor and asses ongoing process variation and changes through chart-selection, control-limit setting, sample sizing/frequency and control-rules
- Benchmarking: Guide others on benchmarking to support all stages of improvement projects including future-state design
- Failure mode avoidance: Decompose complex systems in order to define main functions. Analyse system interactions. Cascade knowledge through fault tree analysis. Create and assess design rules, standards & verification methods. Complete robustness studies to select appropriate control strategies and detection methods
- Sustainability & control: Guide others on control and sustainability planning including methods and tools to maintain benefits, extraction of learning, replication, sharing and consolidation of new knowledge into organisational learning
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