Digital manufacturing engineering leader

Project management principles: planning, scheduling, budgeting, risk management and resource management.

Principles of risk management and resilience: identification, management and retiring risks within product, manufacturing operations, supply chain and technology.

Commercial and contractual requirements: commercial relationships through forms of contract, specifications, procurement, insurance, and third-party undertakings.

Negotiation and conflict management techniques.

Written communication techniques. Plain English principles, manufacturing engineering terminology and report writing.

Technical documentation. User, system, deployment, quality assurance, data logging, risk register and maintenance manuals. Content and usage.

Complex digital manufacturing solutions: efficiency, sustainability, alignment with novel industry initiatives. Technology maturity, proof of concept and proof of value.

Verbal communication techniques. Giving and receiving information. Matching style to audience. Barriers in communication and how to overcome them.

Personal and professional development techniques to keep up to date with advances in digital manufacturing and related technologies.

Principles of sustainability and product lifecycle engineering to design systems, products and processes that maximise energy and material efficiency and minimise the environmental impact. Sustainable manufacturing practices. Sustainable Development Goals (SDGs).

Requirements management techniques throughout the lifecycle. Verification and validation.

Performance management and continuous improvement techniques to sustain and improve the system.

Critical thinking and problem-solving techniques.

Business case development principles: defining the value proposition for digital programs.

Data governance and management principles: establishing and operating data governance and management to ensure maximum effectiveness of digital assets, regulatory requirements, ethical requirements, transparency, accountability, privacy, fairness and GDPR.

Strategic leadership techniques: vision, developing organisations, business transformation.

Digital manufacturing techniques and technology: emerging industry x concepts, digital manufacturing maturity assessments, digital architectures for manufacturing, technology domains, industrial data science frameworks and industrial data standards.

Awareness of the application of Artificial Intelligence (AI) in manufacturing.

Business transformation: business change management processes and techniques.

Statutory and organisational product and design safety standards and requirements for manufacturing systems. Risk assessments, risk mitigation techniques for any risks identified within design, manufacture, development or test activity.

Technical change: Management of Change (MOC), process for requesting, determining impact, planning, implementing and evaluating changes to a product, system or component.

Industrial cyber security – industrial security frameworks and landscape.

Global and cultural trends: global manufacturing trends and cultural awareness for understanding international manufacturing dynamics.

Systems thinking: principles of managing complexity and ambiguity through systems thinking techniques in heterogenous environments.

Advanced manufacturing and automation technologies: innovative manufacturing techniques: additive, biological, and digital manufacturing. The use and integration of robotics and automation in manufacturing processes, how these technologies enhance efficiency and innovation in production.

Optimised manufacturing systems and strategies: optimised manufacturing processes. Integration of services with physical products (servitization) in manufacturing. Lean and agile manufacturing principles. The importance of streamlined, adaptable, and efficient manufacturing operations.

The Equality Act - requirements on organisations. Social inclusion practices. Reasonable adjustments to support accessibility. The impact of unconscious bias.

Principles of configuring and checking systems and equipment for safe operation before use.

Translate conceptual ideas or technical requirements into developmental outcomes, operational designs or specifications for systems or components.

Evaluate, select and apply problem-solving methods, including interdisciplinary approaches and systems thinking, to solve complex problems and determine appropriate solutions or actions.

Manage projects with consideration for various interacting factors such as people and resources, budget, risks, organisational, time and task management, legal, contractual, and statutory requirements.

Comply with statutory and organisational product and design safety standards and requirements. Support risk assessment and mitigation.

Apply performance management techniques to identify and analyse areas for improvement. Lead continuous improvement activities in the operation and performance of the system or component.

Configure and check all systems and equipment for safe operation before use.

Utilise design thinking and human centric design approaches.

Determine the feasibility and applicability of complex digital manufacturing solutions, including the integration of multidisciplinary technologies. Evaluate these solutions for suitability with considerations such as efficiency, sustainability, and alignment with novel Industry initiatives.

Complete requirements gathering and prioritise key areas, such as user, technical and environmental.

Design and implement digital manufacturing systems and architecture considering technical requirements and standards to sustainable practice and the whole product lifecycle and environmental impact for both short-term and long-term.

Analyse and evaluate data and use outcomes to make recommendations and formulate actions.

Communicate verbally to stakeholders through methods such as presentations, digital media, and discussions.

Collaborate and negotiate with stakeholders. Strategically manage differing and competing interests with stakeholders.

Communicate in writing.

Identify and complete opportunities for personal and professional development.

Mentor and guide colleagues on the technical aspects of digital manufacturing and related technologies, focusing on continuous learning and adaptation to emerging trends.

Apply technologies in line with maturity levels within solution design and development phases.

Apply critical thinking and analytical skills.

Apply quality assurance, system inspection, quality control, testing and maintenance procedures.

Apply and promote policies and practices to support equity, diversity and inclusion.

Lead and manage change in the context of digital transformation in manufacturing settings.

Comply with the expectations and requirements of industrial security frameworks and the industrial cyber security landscape.

Act as a role model and advocate for health and safety.

Act in a professional and ethical manner.

Collaborate and promote teamwork across disciplines.

Commit to their own, and support others’, professional development.

Lead by example to promote innovation using critical and analytical thinking.

Lead by example to promote accessibility, equality, diversity and inclusion.

Adapt and be resilient to challenging or changing situations with empathy and an agile mindset.

Act as a role model and advocate environmental, societal and governance best practices.