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:
Job Title: Group Head - Artificial Intelligence & Digital Transformation
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.
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.
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.
AI & Digitisation is a centre-led Group capability, with execution embedded across business units and operating environments
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.
Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Engineering, Robotics or a related advanced technology discipline strongly preferred.
Executive education in technology, innovation, digital transformation or business strategy would be advantageous.
10+ years’ relevant technology/data/AI experience, with meaningful leadership responsibility and evidence of deploying advanced technology into production environments.
Demonstrable experience taking AI solutions from problem definition and data engineering through model development, deployment, monitoring and value realisation.
Experience in industrial, energy, oil & gas, manufacturing, utilities, mining, logistics, infrastructure or other asset-intensive environments strongly preferred.
Experience building or leading multidisciplinary teams comprising data scientists, ML engineers, data engineers, software engineers, product specialists and business/industrial SMEs.
Demonstrable portfolio of successfully deployed AI/digital products with quantifiable operational or financial outcomes
Key Requirements: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 time-series modelling, forecasting, optimisation, anomaly detection and predictive modelling.
Knowledge of computer vision, NLP, intelligent automation and agentic AI systems.
Understanding of digital twins, IoT, edge computing, sensors and industrial data environments.
Strong understanding of MLOps, model deployment, APIs, cloud platforms, data pipelines and model monitoring.
Ability to apply AI to rotating equipment, process plants, production optimisation, asset integrity, reliability and industrial risk.
Ability to translate complex industrial and business problems into mathematical, analytical and AI-solvable problems.
Strong commercial orientation with ability to quantify ROI, productivity gains, avoided losses, downtime reduction and margin improvement.
Strong understanding of AI governance, model risk, data privacy, cybersecurity and responsible AI.
Exceptional strategic thinking, innovation, stakeholder influence and executive communication.
Ability to challenge technology hype and distinguish between automation, analytics, digitisation and genuine AI applications.a
Application Closing DateNot Specified.
Method of Application
Interested and qualified candidates should:Click Apply Now button to apply
How To Apply
-
Make sure you are logged in and your email is verified (Register if you dont have an account).
-
Click the Apply Now button above.
-
Your default email application or the application link will open.
-
Attach your Application letter, updated Curriculum Vitae (CV) and any supporting documents required.
-
Use a professional subject line such as Application for "Indicate Position"
-
Make sure to send your application before the closing date.
Note: Only shortlisted candidates are contacted.
