Commercial Data & AI Lead (Energy Industry)

Airswift

Brussel, Belgium

11 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.adzuna.be

Tech stack

Artificial Intelligence Microsoft Azure Cloud Computing Data Governance Identity and Access Management Python (Programming Language) Machine Learning Power BI SQL Databases Data Analytics Data Management Tools for Reporting

+1 more

Data Pipelines

Job description

Own and enhance the commercial data warehouse and analytics platform.
Develop dashboards, reporting solutions, and decision-support tools using Power BI, Azure, SQL, and cloud-based technologies.
Lead the roadmap for AI, Machine Learning, predictive analytics, and intelligent automation initiatives.
Improve forecasting models and commercial performance through advanced analytics.
Deliver executive-level reporting and commercial insights to senior stakeholders.
Define and implement data governance, data quality, security, and access management frameworks.
Collaborate with business teams, ICT functions, and external technology partners to deliver scalable data solutions.

Requirements

Strong experience in Data Analytics, Business Intelligence, Data Science, AI, or Machine Learning.
Hands-on expertise with Python, SQL, Power BI, and Microsoft Azure.
Experience developing data platforms, predictive models, or AI-driven solutions.
Strong knowledge of data governance, security, quality, and reporting.
Excellent stakeholder management and communication skills.
Master’s degree in a quantitative discipline.

Nice-to-Have:

Experience within Energy, Utilities, Infrastructure, Financial Services, or other data-intensive sectors.
Experience working with cloud data architectures and enterprise-scale analytics platforms.
Exposure to forecasting and optimisation models in commercial environments.