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Technology Lead

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: ArcelorMittal
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Systems Engineer, Data Analyst, Data Science Manager, AI Engineer
Job Description & How to Apply Below
Location: Greater London

The Technology Lead is a pivotal leader in shaping the future of our mining operations.

The job holder drives the identification, evaluation, and implementation of cutting‑edge technologies and innovative solutions across our global mine sites. This role is a blend of strategic thinking, technical expertise, and cross‑functional collaboration. The Technology Lead will work closely with various departments to foster a culture of innovation, improving everything from operational efficiency and safety to long‑term sustainability.

Key responsibilities Strategic Innovation Leadership :
  • Develop and execute a comprehensive innovation strategy aligned with the company's long‑term goals.
  • Identify and evaluate emerging technologies, trends, and best practices relevant to the mining industry (e.g., automation, robotics, AI / ML, data analytics, sustainable mining practices).
  • Serve as a Subject Matter Expert (SME) and internal consultant on innovation to all levels of the organization.
Project Management & Implementation :
  • Lead cross‑functional teams to pilot and deploy new technologies and processes.
  • Oversee the full projects lifecycle, from ideation and business case development to implementation and post‑deployment review.
  • Monitor and measure the impact of innovative initiatives on key performance indicators (KPIs) such as safety, productivity, and cost reduction.
Stakeholder Collaboration :
  • Forge strong relationships with internal stakeholders across the different mining operations, engineering, R&D, IT and environmental departments.
  • Act as a central point of contact for innovation initiatives, collaborating with a large range of departments and facilitate workshops, brainstorming sessions, and pilot projects to test and validate new technologies.
  • Collaborate with external partners, including technology suppliers, research institutions, universities and consortiums.
  • Champion a culture of innovation and continuous improvement throughout the organization.
Qualifications & leadership profile
  • Bachelor’s or Master’s degree in Mining Engineering, Computer Science or a related field.
  • 15 + years of experience in mining industry, with at least 5-7 years in a technology leadership role.
  • Strong technical expertise in data analysis, machine learning, and automation technologies as applied to the mining sector.
  • Proven track record of successfully managing large‑scale technology projects from concept to deployment.
  • Strong stakeholder management, negotiation, and communication skills.
  • Strong understanding of mining processes, including exploration, extraction, and processing.
  • Multilingual ability and experience working in multicultural environments is an advantage.

The ideal candidate is an experienced mining technology and innovation expert to guide our strategic vision and implementation of technology across our global mining operations. This role is crucial for ensuring our mining processes are safe, efficient, and technologically advanced.

Current key challenges (optional)
  • Creating and deploying centralized production dashboards.
  • Pilot digital twinning initiative.
  • Promote and lead mining autonomous equipment initiatives.
  • Live tracking of stock inventories.
  • Integrating disparate systems.
  • Support change management.
  • Develop digital skills within the different site’s workforce.
Key competencies and attributes (optional)
  • Safety & Risk Leadership – Champions a culture of safety and proactively mitigates safety risks.
  • Strategic Vision – Develops long‑term innovation strategy that aligns with the company's broader business goals, whether they are focused on productivity, cost reduction, or sustainability.
  • Technical Expertise – In-depth knowledge of current and emerging technologies like automation, robotics, data analytics, etc.
  • Data and Analytics – The ability to analyze and interpret large datasets from various sources to identify trends, optimize processes, and make data‑driven decisions.
  • Innovation – Champions new technologies and approaches to improve performance and reduce costs and risks.
  • Global Mindset – Adapts to diverse cultural and operational contexts across multiple geographies.
  • Communication – Clearly conveys complex technical issues in a business context for senior leadership.
  • Resilience & Adaptability – Responds effectively to industry volatility, regulatory pressure, and dynamic challenges.
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