Group Head - Artificial Intelligence & Digital Transformation
AI summary
Dangote Industries Limited is hiring a Group Head for AI & Digital Transformation to lead enterprise-wide artificial intelligence and digitisation strategy across industrial operations in Lagos, Nigeria. The role focuses on deploying production-scale AI solutions including machine learning, predictive analytics, computer vision, generative AI, and digital twins to improve performance, reliability, safety, and commercial value. Candidates need a relevant bachelor's degree, 10+ years of technology/AI experience, and a strong track record of delivering measurable AI outcomes.
- Senior group-level leadership role driving AI and digital transformation across the Dangote portfolio
- Focus on production-scale AI including ML, predictive analytics, computer vision, generative AI, and digital twins
- Requires 10+ years of relevant technology/AI experience with demonstrable deployed solutions
- Industrial, energy, oil & gas, manufacturing, or asset-intensive experience strongly preferred
- Based in Lagos, Nigeria, with group-wide scope across multiple business units
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AI salary guide
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- Required10+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, seguranca, technologyThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
Documents to prepare
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Original source description
Job Title: Group Head - Artificial Intelligence & Digital Transformation
Group Head - Artificial Intelligence & Digital Transformation at Dangote Industries Limited
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Sep 16, 2026, 8:10 AM
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View all Manufacturing & Production jobs
Dangote Group is one of Nigeria’s most diversified business conglomerates with a hard – earned reputation for excellent business practices and products’ quality with its operational headquarters in the bustling metropolis of Lagos, Nigeria in West Africa.
We are recruiting to fill the position below:
Location: Lagos
Job Summary
The Group Head: AI & Digital Transformation is responsible for defining and executing the Group’s enterprise-wide Artificial Intelligence and Digitisation strategy, translating emerging technologies
into measurable improvements in operational performance, reliability, productivity, safety, risk management and commercial value.
AI & Digitisation is a centre-led Group capability, with execution embedded across business units and operating environments
The role will lead the development and deployment of AI-enabled solutions including machine learning, predictive and prescriptive analytics, computer vision, optimisation algorithms, generative AI, intelligent automation, digital twins and advanced decision-support systems.
The Group Head will operate at the intersection of business, industrial operations, data, technology and AI, working closely with the GCRO, GCIO, business CEOs/MDs, plant leadership
and functional executives. The role will ensure that AI and digitisation investments move beyond experimentation to production-scale solutions with defined business outcomes, appropriate governance and measurable return on investment.
The role will identify, prioritise and scale high-value AI and digital use cases across the Group’s industrial portfolio, including refining, petrochemicals, fertiliser, cement, manufacturing, mining/raw materials, logistics, transport, supply chain and corporate functions.
Qualifications &
Experience
Bachelor’s Degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Software Engineering, Computer Engineering, Electrical/Electronic Engineering, Robotics, Mathematics, Statistics, Computational Science or related quantitative discipline.
Demonstrable
taking AI solutions from problem definition and data engineering through model development, deployment, monitoring and value realisation.
in industrial, energy, oil & gas, manufacturing, utilities, mining, logistics, infrastructure or other asset-intensive environments strongly preferred.
10+ years’ relevant technology/data/AI experience, with meaningful leadership responsibility and evidence of deploying advanced technology into production environments.
Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Engineering, Robotics or a related advanced technology discipline strongly preferred.
Demonstrable portfolio of successfully deployed AI/digital products with quantifiable operational or financial outcomes
building or leading multidisciplinary teams comprising data scientists, ML engineers, data engineers, software engineers, product specialists and business/industrial SMEs.
Executive
Education
in technology, innovation, digital transformation or business strategy would be advantageous.
Key
Requirements
- Exceptional strategic thinking, innovation, stakeholder influence and executive communication.
- Knowledge of computer vision, NLP, intelligent automation and agentic AI systems.
- Strong commercial orientation with ability to quantify ROI, productivity gains, avoided losses, downtime reduction and margin improvement.
- Ability to challenge technology hype and distinguish between automation, analytics, digitisation and genuine AI applications.
- Ability to translate complex industrial and business problems into mathematical, analytical and AI-solvable problems.
- Ability to apply AI to rotating equipment, process plants, production optimisation, asset integrity, reliability and industrial risk.
- Strong understanding of MLOps, model deployment, APIs, cloud platforms, data pipelines and model monitoring.
- Advanced understanding of machine learning, deep learning, generative AI, large language models and advanced analytics.
- Strong understanding of Python, SQL and modern AI/ML development environments; technical credibility sufficient to interrogate models, architectures and algorithms.
- Understanding of digital twins, IoT, edge computing, sensors and industrial data environments.
- Strong understanding of AI governance, model risk, data privacy, cybersecurity and responsible AI.
- Understanding of time-series modelling, forecasting, optimisation, anomaly detection and predictive modelling.
- How to Apply
- Interested and qualified candidates should:
- Click here to apply online
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- Lagos State