Director of Data Analytics and AI

Key Responsibilities

• Strong expertise in ML algorithms, frameworks (TensorFlow, PyTorch, Scikit-learn), and modern data processing tools.
• Expertise in designing data models, semantic layers, and enterprise datasets for analytics consumption.
• Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences.
• Strong problem-solving and strategic-thinking skills with the ability to drive complex technical initiatives.
• Knowledge of ethical AI principles and data privacy regulations.
• Advanced proficiency in Python, Java, C/C++, Spark, R, Kafka, C#, MATLAB, and modern data communication formats.
• Experience with microservices, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).
• Expertise with GraphDB, SQL/NoSQL databases, and general database architecture.
• Experience with industrial automation or power system design is a plus.
• Published research or open-source AI/ML contributions preferred.
• Familiarity with energy industry standards and documentation processes.

Skills, Knowledge & Expertise

• Degree in Computer Science, Engineering, Mathematics, or a related field.
• 10+ years of experience in AI/ML, including supervised/unsupervised learning, reinforcement learning, and LLM-based solutions.
• Proven experience developing, deploying, and scaling ML models and analytics systems in production environments.
• Experience leading multidisciplinary, high-performing data and AI teams.
• Hands-on experience with Power BI, DAX, Power Query, data modeling, and enterprise reporting best practices.
• Experience with Microsoft Fabric (Data Engineering, Data Factory, Lakehouse, Warehouse, Real-Time Analytics).