Improvement Practitioner - Level 4 Apprenticeship (Starting between August 2023 and July 2024)

Improvement Practitioners use a blend of Lean and Six Sigma, project and change management principles and tools to identify and lead the delivery of change across organisational functions and processes. Improvement Practitioners can be found across all sectors and functions including automotive, banking, engineering, food products, IT, property, retail, telecoms, Local and County Councils, NHS, Voluntary / Charity, Utilities, Pharmaceuticals, Insurance, Hospitality etc.

Level 5 Diploma in Leadership and Management Level 5 Operational Department Manager Apprenticeship

• Compliance: Work in accordance with organisational controls and statutory regulations • Communication: Speak and write clearly. Influence others, question effectively. Plan and deliver meetings presenting insight to engage audiences. • Coaching: Observe, listen, use questioning, provide feedback, and spot learning opportunities • Project management: Define, sequence, plan and schedule activities with phases and milestones. Estimate effort and duration. Create and update project charter. Review progress • Change management: Sponsorship contract, surface and manage resistance, build compelling narratives for change, assess change impact. • Principals and Methods: Select and apply a structured method and appropriate improvement tools engaging with subject matter experts to deliver business benefits. • Project selection and Scoping: Support the identification of improvement opportunity and the scoping of these projects. • Problem definition: Support development of problem/opportunity statements • Voice of the customer: Support application of techniques to identify and prioritise customers, their requirements and ensure balance against the stated and unstated needs of the business (Voice of the Business) • Process mapping & analysis: Process map to measure and analyse flow and value. Identify interfaces, functional responsibilities, and ownership. Use insight to identify potential opportunities and map future state. • Lean tools: Seek in-process waste through understanding of value within the value stream. • Measurements systems: Plan, carry out and assess results of a measurement system study. • Data acquisition for analysis: Develop a sampling strategy. • Basic statistics & measures: Use graphical analysis to understand distribution and stability. • Data analysis-statistical methods: Identify datatypes and select analysis methods and tools. Assess time series data stability and analyse making relevant insight. • Process capability & performance: Select methods and metrics for analysis. • Root cause analysis: Select and apply the appropriate graphical tool dependent on the data type to identify patterns, trends and signals to establish hypothesis. • Experimentation & optimisation: Plan designed experiment with clear objectives, and appropriate levels of Measurement Systems Analysis, analyse experiment data and optimise. • Identification & prioritisation: Identify and prioritise factors, ideas and solutions. • Data analysis – SPC: Select and apply appropriate tools for ongoing monitoring and control. Analyse and interpret control charts. • Benchmarking: Conduct structured benchmarking to support target setting • Sustainability & control: Identify failure modes and embed learning from improvements.

1:1 and tri-party reviews will be arranged throughout the duration of the apprenticeship. Assessment will be work based through portfolio evidence. Self-directed study of key elements This qualification is assessed through the end point assessment.

Through end point assessment organisation: Advanced Analytics This is a portfolio based apprenticeship.

Either before or during the apprenticeship, apprentices will be required to achieve level 2 qualifications in English and mathematics prior to taking the end point assessment. You will need to be in a relevant job role to demonstrate key skills, knowledge and behaviour.

Currently working within a suitable role within this vocational area. Learners will find it useful to have access to: • Standard office IT equipment to gather, analyse and present data • Data analysis software such as Minitab, JMP, SPSS, SigmaXL, Data Analysis Toolkit