Job Description Summary Job Description Role Overview The GSI Global Engineering Leader is a senior leader position focused on driving the strategic transformation of engineering operations across a global organization. The role carries responsibility for approximately 300 direct and 1,500 indirect engineers spanning multiple regions, solution lines, and Centers of Excellence. This leader serves as a cornerstone of the GSI leadership team, operating at the intersection of technical expertise, commercial awareness, and organizational influence. Strategy & Vision The leader is responsible for defining and championing a forward-looking global engineering strategy aligned with GSI's growth ambitions and customer commitments. This includes establishing operating mechanisms and collaboration frameworks across the engineering community, defining Make or Buy strategies, and elevating the project engineering function at the Inquiry to Order (ITO) phase. The role also supports the CTO Office in shaping the strategic product roadmap and building strong stakeholder relationships internally and externally. Engineering Offices & Standards Overseeing the GSI Center of Excellence (CoE) and the Project Engineering Office (PEO), the leader ensures capabilities and capacity are built to support the broader engineering community. The role drives the development and enforcement of global engineering standards, tools, and methodologies — including Building Information Modelling (BIM), Systems Engineering (CMMi), and the Engineering Management Handbook (EMH) — while promoting standardization, modularization, and knowledge capitalization across all regions. Operational Excellence & Competitiveness A strong emphasis is placed on cost competitiveness, productivity, and time-to-market improvement. The leader embeds lean engineering, design-to-cost, and value engineering practices throughout the organization, establishes clear performance KPIs, and ensures engineering budgets are rigorously managed. Proactive identification of risks and opportunities across regions and solution lines is a critical expectation of this role. Industrialization, Innovation & Supply Chain The leader enables rapid ramp-up of engineering capacity to meet business growth targets, supports industrialization of reference solutions, and actively manages global Engineering Supply and Demand in alignment with the S&OP process. The role promotes adoption of advanced technologies including simulation, digital twins, AI, and engineering automation, while partnering with Solution Line leaders to align engineering capabilities with product roadmaps and customer needs. People Leadership & Talent Development Leading a large, globally dispersed engineering organization requires strong people leadership. The role champions a structured competency assessment framework, the Technical Expert Program (TEP), and clear career development pathways. The leader organizes knowledge-sharing forums, manages succession planning, and builds critical capabilities in domains such as power systems, grid integration, and digital engineering — fostering a high-performing and engaged global engineering culture. Qualifications & Profile The ideal candidate holds a Bachelor's degree in Engineering (Master's preferred) with 15–20+ years of progressive experience in EPC environments within Transmission & Distribution, Power Generation, or related sectors. An MBA is a strong asset. The successful candidate will be a visionary, results-driven leader with high technical credibility, strong executive communication skills, a global mindset, and a demonstrated ability to operate effectively in complex, matrixed organizations while championing safety, quality, and continuous improvement. Travel requirement of up to 50% Additional Information Relocation Assistance Provided: No #LI-Remote - This is a remote position

• Conduct drilling rig equipment condition audits in accordance with ISO 19011 Guidelines for Management System Audits • Provide the Client with a valid assessment and report on the availability, reliability and fit-for-purpose of all mechanical equipment and systems relating to the control of rig power, drilling, hoisting, marine and safety critical (excluding BOP) equipment • May be required to provide specialist advice, operational support or training material to clients upon request • Work worldwide with a target maximum period of 28 days at a time based in Aberdeen.

At peopleworth, we support work where people and performance thrive. As part of our Employer Group, we work with a variety of forward-thinking partners and are excited to share this opportunity that sits within our growing group. Role Overview We are seeking an experienced AI Engineering Subject Matter Expert to lead the technical content design of a rigorous professional learning programme focused on production AI application engineering. This role focuses on defining, developing, and validating technical learning materials that reflect how modern AI systems are designed, deployed, evaluated, and governed in real-world environments. The successful candidate will act as the practitioner authority for the programme’s technical scope, working closely with learning designers and academic contributors to ensure the curriculum reflects current industry standards and production-grade engineering practices. Key Responsibilities Develop technical source material for multiple sequential learning modules including code examples, system architecture references, case studies, assessment briefs, and worked solutions Collaborate with learning designers to translate curriculum frameworks into technically accurate and production-relevant learning content Participate in collaborative curriculum design sessions with academic contributors to refine programme scope, sequencing, and exit standards Review learning materials throughout the development process to ensure technical accuracy, credibility, and alignment with current industry practices Design summative assessments that reflect real-world AI engineering hiring and evaluation formats Provide practitioner insight into the design of production AI application architectures and engineering workflows Contribute expert insights to live masterclass or knowledge-sharing sessions following programme launch Advise on the practical realities of building and deploying production AI applications, including common failure modes and operational challenges Support the development of content covering evaluation methodologies, reliability patterns, governance considerations, and architectural decision-making for AI applications

At peopleworth, we support work where people and performance thrive. As part of our Employer Group, we work with a variety of forward-thinking partners and are excited to share this opportunity that sits within our growing group. Role Overview We are seeking an experienced AI Engineering Subject Matter Expert to lead the technical content design of a rigorous professional learning programme focused on production AI application engineering. This role focuses on defining, developing, and validating technical learning materials that reflect how modern AI systems are designed, deployed, evaluated, and governed in real-world environments. The successful candidate will act as the practitioner authority for the programme’s technical scope, working closely with learning designers and academic contributors to ensure the curriculum reflects current industry standards and production-grade engineering practices. Key Responsibilities Develop technical source material for multiple sequential learning modules including code examples, system architecture references, case studies, assessment briefs, and worked solutions Collaborate with learning designers to translate curriculum frameworks into technically accurate and production-relevant learning content Participate in collaborative curriculum design sessions with academic contributors to refine programme scope, sequencing, and exit standards Review learning materials throughout the development process to ensure technical accuracy, credibility, and alignment with current industry practices Design summative assessments that reflect real-world AI engineering hiring and evaluation formats Provide practitioner insight into the design of production AI application architectures and engineering workflows Contribute expert insights to live masterclass or knowledge-sharing sessions following programme launch Advise on the practical realities of building and deploying production AI applications, including common failure modes and operational challenges Support the development of content covering evaluation methodologies, reliability patterns, governance considerations, and architectural decision-making for AI applications