Senior Manager Engineering AI And Data

About Deloitte

When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, Best Consulting Firm, and the Middle East Training & Development Excellence Award.

Our Purpose

Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges, and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations, and supporting our communities.

Our shared values guide the way we behave to make a positive, enduring impact:

• Lead the way
• Serve with integrity
• Take care of each other
• Foster inclusion
• Collaborate for measurable impact

Technical Capabilities

• Experience (10–15 years) in applied data science, advanced analytics, and AI in the oil and gas industry, preferably in the upstream sector.
• Expertise in time series forecasting, anomaly detection, predictive analysis, optimization, and common machine learning algorithms such as tree ensembles, gradient boosting, and deep learning architectures.
• Knowledge of augmented generation and prompt engineering.
• Development of data-driven models to support forecasting, optimization, and decision support.
• Familiarity with data frameworks such as Spark and Databricks.
• MLOps and production deployment experience including containerization (Docker), orchestration (Kubernetes), CI/CD for models, model packaging (MLflow, Kubeflow, Seldon), and automated monitoring and retraining pipelines.
• Practical experience with cloud ML and data platforms: AWS (SageMaker, EMR), Azure (ML, Databricks), GCP (Vertex), and integration with enterprise data lakes and historian systems (OSIsoft/AVEVA PI).
• Competence in model governance, explainability (SHAP, LIME), validation, performance monitoring, and model risk management in regulated and operational environments.
• End-to-end solution design.

Functional Capabilities

• Delivery of use cases with clear business value such as production uplift, downtime reduction, energy optimization, emissions reduction, predictive maintenance, and process yield improvement.
• Design and execution of value pilots, estimation of effort, and support for pricing and commercial terms.
• Client engagement and account handling: lead technical client workshops, present to executive audiences, and translate technical outputs into actionable recommendations and ROI narratives.
• Business development: lead proposal development both technically and commercially, along with quality and risk management internally.
• Production of quality artefacts including analysis reports, dashboards, and model documentation, ensuring solutions are operationalized and adopted.
• Communication with technical stakeholders using dashboards and executive summaries.
• Identification of data quality and instrumentation gaps in operational environments and recommendation of pragmatic remediation strategies.

Leadership Capabilities

• Embed Deloitte purpose and values in client work and team leadership.
• Lead, mentor, and develop multidisciplinary analytics teams; champion best practice, knowledge sharing, and capability uplift.
• Take ownership for engagement financials, resource planning, risk management, and delivery quality; escalate as appropriate.
• Engage in market activities and drive change adoption.
• Provide suite and technical leadership.

Required Qualifications

• Bachelor’s or Master’s (or higher) degree in Data Science, Computer Science, Statistics, Mathematics, Engineering (Petroleum or Process), or related discipline.
• 10–15 years’ practical experience in data science, analytics, or AI roles with significant, demonstrable exposure to the oil and gas industry (mainly upstream).
• Experience delivering end-to-end solutions from requirements and proof of concept to deployment and monitoring.
• Experience leading proposal development, client business development activities, and managing client relationships.
• Strong technical proficiency in the data science stack, cloud platforms, and MLOps tooling.
• Excellent communication, stakeholder management, and presentation skills; fluent English (written and spoken).
• Ability to work in a client-oriented environment with flexible work hours.
• Willingness to travel across the GCC region (50–75% of the time).

Additional Preferred Qualifications

• Experience in consulting or Big Four firms is a must; experience with leading consulting firms or global system integrators is a plus.
• Experience with international oil companies (IOCs) is preferred.
• Domain certifications or technical credentials in cloud, MLOps, or industry standards are a plus.
• Arabic language skills are a plus.
• Publications, patents, or recognized contributions in AI, machine learning, or industry analytics are an advantage.
• Experience with industry standards such as OPC UA and WITSML is a plus.