Senior Manager/Director, Data Analytics Consulting – Data Science/AI/ML

About the Job
Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast-paced entrepreneurial engineering environment and take ownership of critical technical and business decisions that directly impact the organization and its clients?

As one of the world’s leading digital transformation service providers, we are expanding our Data teams in the Middle East to meet increasing client demand for our services. We are looking to hire someone at either the Senior Manager or Director level within the Data Science Consulting & Data Analytics Practice, focusing on Artificial Intelligence (AI) and Machine Learning (ML) solutions in the Energy/Oil & Gas sector.

The roles offer exciting opportunities to work with leading-edge data technologies and play a highly visible role across the data practice, while partnering very closely with clients to help drive local market growth.

We offer a hybrid work environment, allowing you to work in the office, on client site, or from home depending on the projects you will be aligned with.

Responsibilities

• Provide technical leadership and strategic direction in Data Science/AI/ML, driving the design, development, and implementation of solutions for clients in the Oil & Gas/Energy sector.
• Collaborate with cross-functional teams to define project scope, develop data models, and apply appropriate ML algorithms to deliver high-quality solutions.
• Identify new AI/ML opportunities by leveraging technical expertise and engaging senior decision-makers.
• Shape data solutions, establish optimal operating models and project team organization, and lead the transition from sales to the delivery phase.
• Focus on practical AI application frameworks, including Data, MLOps, and LLMOps, and participate in the development of Generative AI, Responsible AI, ESG, and AI Security offerings.
• Foster strong client relationships, ensuring satisfaction through effective project delivery and clear communication.
• Engage client executives up to C-level to help drive an enterprise-wide agenda to maximize growth.
• Provide guidance and mentorship to junior team members in Data Science/AI/ML.
• Stay updated with the latest advancements in AI/ML and emerging technologies and proactively recommend new approaches.
• Support pre-sales activities by assessing Data opportunities, responding to RFPs, and creating proposals and presentations.

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Data Science, or a related field, or extensive relevant work experience.
• Fluent English speaker; Arabic is a strong advantage.
• Experience and knowledge of the Oil & Gas/Energy sector.
• Strong experience in a senior or leadership role within Data Science & Data Analytics Technology Consulting.
• Proven track record in designing and implementing AI/ML, Generative AI, and MLOps solutions.
• Technical proficiency in programming languages such as Python, R, or Java, and ML libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of ML algorithms, data preprocessing, feature selection, and model evaluation techniques.
• Experience in engaging and influencing senior stakeholders to secure funding or sell AI/ML projects.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Confident in making recommendations and presenting analysis to senior management.
• Ideally, experience in pre-sales or supporting sales teams.

Benefits

• End of service gratuity.
• Private healthcare and life insurance.
• Employee assistance program.
• Wellness program.
• Annual air travel tickets for expatriates.
• Corporate Programs including Employee Referral Program with rewards.
• Learning and development opportunities including in-house training and coaching, professional certifications, and access to over 22,000 courses.

All benefits and perks are subject to certain eligibility requirements.