AI & Data Lead - Senior Associate

• Design, build, and maintain scalable data pipelines (ETL/ELT) to support analytics and AI uses cases

• Develop and manage data architectures that support AI workflows and model development

• Integrate and prepare structured and unstructured datasets for AI applications

• Ensure high levels of data quality, reliability, and availability for AI Models

• Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.

• Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.

• Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.

• Design and maintain cloud-based data platforms which includes working with big data tools and modern data architectures

• Support data observability and monitoring to detect pipeline issues and data drift

• Ensure compliance with data governance, security and relevant regulations.

• Develop dashboards and reporting solutions

• Translate business and operational requirements into data and AI solutions

• Enable advanced analytics and decision-making across departments

• Work closely with Engineering, Operations and Back-Office teams

• Collaborate with external partners on AI pilots and deployments

• Enable business teams by providing reliable data infrastructure

• Act as bridge between business, data and AI initiatives

• Actively assist the Department Head with the preparation of the monthly budget.

• Develop and manage all budget items, including cost control and expenditure forecasting.

• Ensure the budget is in line with the department’s scheduled activities.

• Supervise the team to execute assigned projects within deadlines and budget.

• Carry out performance appraisals and development plans with subordinate staff.

• Coordinate the leave schedule of subordinate staff.

• Operational Efficiency: Reduce time spent on manual reporting, data reconciliation, and routine decision-making across Power, Midstream, and Engineering through automation and AI-driven workflows.

• Cost Reduction: Identify and support the elimination of cost inefficiencies via predictive analytics, asset optimisation, and smarter procurement/resource planning.

• Data Driven Decision Making: Ensure leadership across all SBUs have timely, reliable data to drive strategic and operational decisions.

• AI Adoption at Scale: Mature Gensers AI capability from isolated pilots to embedded, production-grade solutions across business units within a defined roadmap.

• Bachelor's degree in software engineering, Computer Science, Data Science, or Information Systems.

• Master's degree in Machine Learning, Data Science, Artificial Intelligence or related field is a plus.

• Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect

• Multicultural experience is mandatory is a plus.

• Proficiency in French is a plus.

• 6 – 8 years of experience in data engineering, AI, or analytics, preferably in the Oil & Gas industry.

• Proficient in Microsoft Office Suite (Excel, PowerPoint, Word).

• Strong proficiency in Python and SQL

• Experience building data pipelines and ETL/ELT processes

• Experience with cloud platforms (Azure preferred)

• Strong understanding of data modelling and data architecture

• Experience with machine learning frameworks

• Experience working with both structured and unstructured data

Genser Energy