We are delighted to collaborate with a leading organization in the energy sector to offer this exceptional opportunity. Our partner is committed to delivering top-tier solutions to its clients, and we're here to guide you throughout the application process.

Role Overview:

We're seeking a dynamic Chapter Lead for our global Data & Analytics department. In this role, you will lead, mentor, and nurture a team of skilled data scientists and data solution experts. You will shape and execute the AI strategy, collaborate with Data Product Leads, Chapter Lead DevOps & Data Engineering, and engage with business stakeholders to chart the AI roadmap. Your responsibilities include enhancing your team's technical competencies, fostering a collaborative atmosphere, setting benchmarks for solution development, streamlining processes, and ensuring solution quality. Leverage machine learning for innovation and play a leading role in designing, implementing, and optimizing our MLOps processes to support the entire AI product lifecycle.

Key Responsibilities:

• Functionally lead and mentor a diverse team of data scientists, data architects, and report developers.
• Develop, align, and execute the AI Strategy and implementation plan.
• Contribute to the development and implementation of advanced analytics, machine learning, and AI solutions.
• Define and implement the MLOps strategy, best practices, and standards.
• Architect and maintain an efficient MLOps framework.
• Identify, assess, and integrate MLOps tools, frameworks, and platforms.
• Foster innovation within the chapter by staying updated with emerging trends and best practices.
• Mentor and nurture team members, offering guidance on technical skills and career progression.
• Collaborate with other chapter leads to facilitate knowledge exchange and cross-functional cooperation.
• Engage with stakeholders to report progress and demonstrate the value of data-driven initiatives.

Key Requirements:

• Hold a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
• Demonstrate a proven track record of leading data science and analytics teams, preferably in the energy or related sector.
• Possess over 10 years of hands-on development experience and expertise in data analysis, predictive modeling, machine learning, and AI.
• Exhibit proficiency in programming languages like Python or R and experience with data manipulation and visualization libraries. Familiarity with Azure is advantageous.
• Have a solid grasp of data engineering concepts, data architecture, and cloud-based database management systems.
• Showcase excellent leadership and communication skills.
• Be a strategic thinker capable of translating business challenges into actionable data solutions.
• Demonstrate experience in collaborating with cross-functional teams and stakeholders.
• Knowledge of energy distribution systems and industry-specific challenges is a plus.
• Exhibit a strong commitment to data ethics, privacy, and security.

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‍Ready to lead the way in AI innovation? Apply now and become a part of our dynamic team!

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Please note that this job opportunity is brought to you by Radar Roster, in partnership with our client, and all applications will be processed through our platform. We are a trusted partner of our client and specialize in connecting top talent with outstanding career opportunities. Your application will be handled with the utmost confidentiality and professionalism.