Role Description The VP Engineering is a senior leadership role created to drive a step-change in how LRQA engineers its software. It sets the software engineering and architecture direction for Digital Transformation, establishes the standards, tooling and modern practices the function builds to, and leads the adoption of AI-assisted engineering and automation to raise productivity and shorten time to release. It is the senior engineering voice alongside the Chief Digital Officer and across the executive, accountable for engineering strategy, technical standards and architecture direction, and for building the capability and ways of working that lift the whole function. Key Responsibilities - Driving the software engineering step-change - AI-assisted engineering - Lead the adoption of AI in engineering: set the direction for AI-assisted development and embed it in how the teams design, build and test. - Put in place the foundations that make it work at scale: the engineering standards, golden paths, repository structure, documentation-as-code and reusable scaffolding that let both engineers and AI tooling move quickly and safely. - Automation and modern practice - Drive automation across the software lifecycle, from build and test to release, so delivery is faster, more consistent and less manual. - Set the engineering practices that support faster, more reliable software flow (Continuous Delivery, CI/CD, automated testing and release readiness) as the standard the teams build to, working with Infrastructure/DevOps and others. - Productivity and time to release - Define the engineering performance and productivity framework and the target ambition (DORA, cycle time, time to release), and drive sustained improvement working through the Head of Development and the other leaders. - Make this a genuine step-change in throughput and quality, not an incremental tidy-up. - Engineering and architecture direction - Set the software engineering strategy and multi-year technical roadmap, aligned to the digital and business strategy. - Sequence re-platforming and capability change against portfolio priorities, including readiness for the next phase of scale-up. - Set the software engineering standards, tooling and technology-stack direction the function builds to. - Make build-versus-buy and platform decisions at portfolio level. - Set the software engineering architecture direction across Digital Transformation and hold cross-estate coherence. - Set the design standards systems must meet for security, reliability, performance, cost and operability. - Act as the escalation and decision point for the most significant technical and design choices across the estate. - Set the direction for integration delivery across the estate, including the shared data and integration layer and its event-driven patterns. - Leadership - Lead, develop and set direction for the Head of Development, the Cyber Development Lead and the Enterprise Architect. - Set the priorities and trade-offs that span the teams, and clear the senior blockers above them. - Own software engineering organisation design and the operating model as the function scales. - Act as the senior software engineering voice alongside the CDO and across the executive. - Provide technical advice and assurance on major investment, build-versus-buy and platform decisions, and make engineering’s direction, value and constraints understood at leadership level. Key Outcomes - A genuine step-change in engineering productivity and time to release, measured through DORA and cycle-time metrics and visibly improving. - AI-assisted engineering adopted across the teams, on sound foundations (standards, golden paths, scaffolding) that make it work at scale. - Automation embedded across the software lifecycle, reducing manual effort and variability. - A clear engineering strategy, technical roadmap and architecture direction, in use across the function. - Engineering standards, tooling and stack direction set and applied consistently across the estate. - Significant designs and major technical decisions agreed cleanly and consistently across the estate. - An engineering operating model and team structure that scales with the business. Qualifications - Software Engineering leadership at scale: led engineering functions and driven a step-change in how they build, not only run delivery. - AI-assisted engineering: real experience introducing AI and automation into how software is engineered, with the foundations to make it stick. - Modern engineering and productivity: deep grounding in Continuous Delivery, DevOps and cloud, and in engineering productivity measurement (DORA, cycle time or equivalent). - Architecture direction: a strong architecture background, setting direction and running a Technical Design Authority or similar forum across a complex, integrated estate. - Standards and foundations: a track record of establishing engineering standards, golden paths and reusable foundations that lift a whole function. - Strategy to execution: setting strategy and standards and landing them through other leaders and their teams, including re-platforming and culture change. - Organisation design: experience of engineering organisation design, operating models and developing leaders. - Influence: credibility and influence at executive level, and effective management of vendors and partners. Leadership Profile - Operates at a strategic level, setting direction and raising the capability of the whole function. - Focused on outcomes, with clear ownership of engineering direction and value. - A decisive technical leader, comfortable making decisions without complete information. - Builds and develops strong technical-leadership teams. - Able to simplify complex problems and align different stakeholders. - Credible across strategy, architecture and at executive level. Pre-Employment Checks If you are successful in securing a role with us, we will carry out preemployment checks in accordance with what is permitted under local law. These checks may include, where legally allowed: right to work, identification, verification of employment history, education, and criminal record checks. We will engage our third-party background screening provider, Cfirst to conduct these checks on our behalf. Cfirst performs all processing in full compliance with applicable data protection laws and adheres to strict legal, regulatory, and ethical obligations in handling personal data. Any personal information collected for the purpose of these checks will be used solely for evaluating your suitability for employment and will be retained only for as long as necessary to fulfil these purposes and meet legal requirements. Your data will be stored securely and managed in accordance with all relevant privacy legislation. If you have any questions or concerns about the preemployment checks please contact us at Onboarding@lrqa.com If you have any questions or concerns on how your data will be handled, please contact us as dataprotection@lrqa.com At LRQA, we believe that as a leading Global Leading Assurance and Risk Management Service provider, our talented people are our risk management advantage. We believe the best outcomes come from diverse perspectives, shared ambition and working together with integrity. That's how we build a workplace where everyone can contribute, grow and thrive. Guided by Vision and powered by Expertise, we're united by a shared purpose. If you're driven to make a difference, you'll belong here.

• Provide global technical and engineering leadership across Brambles, ensuring engineering strategy, standards, and execution are aligned to supply chain objectives, safety requirements, and sustainability goals • Develop and execute a global engineering strategy to support business growth, operational excellence, automation, and long-term cost base optimisation • Lead and inspire a diverse, multinational engineering organisation, building strong succession pipelines, capability uplift programmes, and a high-performance culture • Own and govern the global automation and “Plant of the Future” roadmap, overseeing major capital investments, technology deployments, and new facility builds • Establish and enforce global engineering standards, safety protocols, and best practices, ensuring consistent application across all regions and sites • Partner closely with Regional Supply Chain Leaders to tailor engineering solutions that meet local operational needs while maintaining global scalability and compliance • Champion safety, risk management, and regulatory compliance across all engineering activities, with a clear focus on Zero Harm outcomes • Drive sustainability outcomes through engineering innovation, including energy efficiency, emissions reduction, and environmentally responsible asset design • Provide governance over the global engineering portfolio, ensuring robust demand intake, prioritisation, and ROI-focused decision making • Act as a thought leader in digital engineering, automation, IoT, and asset management technologies to improve visibility, reliability, and performance of engineering assets • Manage and allocate the global engineering budget, with authority over major capital investments and accountability for financial discipline • Build and maintain strategic partnerships with OEMs, automation providers, and engineering service suppliers to drive innovation, performance, and value

Role Description We are looking for an AI Security & Trust Engineering Manager to help operationalize trust across the company by partnering with Engineering, Product, Infrastructure, AI, and Compliance teams to embed scalable security, governance, and trust into the systems that power our business. This role involves: - Creating and leading a virtual Trust Engineering capability across 3E. - Ensuring trust becomes an integrated part of how we build—not an afterthought. - Leading cross-functional AI Security & Trust Engineering initiatives through influence, collaboration, and operational excellence. - Translating security and trust strategy into clear execution plans, measurable outcomes, and shared ownership models. - Partnering with engineering teams to embed trust, security, and governance into AI-enabled products, platforms, and delivery workflows. - Coaching and mentoring engineers on modern trust engineering practices, secure AI development, automation, continuous assurance, and scalable security controls. - Replacing manual processes with automated, repeatable, and resilient trust mechanisms. - Driving operational excellence through documentation, reusable platforms, and engineering best practices. - Establishing meaningful metrics, operational feedback loops, and leading indicators that improve both security posture and engineering effectiveness. - Helping operationalize AI governance and customer trust initiatives across the organization. - Influencing stakeholders across multiple teams to remove friction, improve execution, and reduce organizational risk. Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or equivalent practical experience. - 6+ years of experience in security engineering, infrastructure engineering, platform engineering, AI engineering, cloud engineering, or related technical disciplines. - 2+ years of experience leading, mentoring, or influencing engineers in matrixed or cross-functional environments. - Strong understanding of modern trust engineering, AI security, automation, continuous assurance, system-enforced controls, and scalable risk reduction. - Experience delivering complex technical initiatives by influencing stakeholders across multiple teams. - Excellent communication, relationship-building, and stakeholder management skills. - A passion for using AI to solve meaningful business problems—not simply as a productivity tool. Requirements - Experience building AI-enabled workflows, intelligent automation, AI agents, or enterprise AI platforms. - Experience leading engineering initiatives within SaaS, cloud-native, platform, or highly automated environments. - Background in infrastructure or platform engineering before moving into security. - Experience supporting governance, compliance, or customer trust initiatives such as SOC 2, ISO 27001, or ISO 42001. - Experience building engineering metrics, governance models, and operational frameworks that improve predictability and shared ownership. - Industry certifications are welcome but not required. Benefits - Health, dental, and vision insurance - Life insurance and disability coverage - Open PTO and parental leave - 401(k) plan with company matching - Employee assistance program - Voluntary supplemental benefits (Accident, Hospital Indemnity, Critical Illness)

• Manage and oversee multiple capital projects from their inception through their completion simultaneously • Assist in developing capital project plans • Focus on building construction and infrastructure improvement projects • Experience in multiple trade management on large construction sites • Coordinate and develop a clear project scope and cost estimate in conjunction with the proper teams • Communicate effectively with Operations, Quality, Tech Services and other internal teams to ensure that project design and layout is satisfactory and timelines are met • Source, develop and maintain strong working relationships with contractors, vendors and suppliers • Create and read Process and Instrumentation Drawings for projects • Provide awareness of new processes and equipment in order to reduce cost and promote efficiencies within the operation • Provide assistance to the operations group when directed in the area of Repairs and Maintenance costs and preventative maintenance programs • Assist and provide technical support in the area of energy savings and effluent reduction within the plants • Understand federal, state and local regulations pertaining to the dairy industry, which covers equipment, structural requirements and environmental (e.g. building codes and structural requirements, 3A, OSHA, NFPA) • Enforce the Company’s policies and programs with contractors and vendors • Travel will be expected up to 80% of the time • Perform other duties as required