Senior Manager | Engineering AI & Data | AI & Data | AI at Scale ( Energy Resources Industry) | Riyadh

Overview

About Deloitte

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

• on experience (10–15 years) in applied data science, advanced analytics and AI in the Oil and Gas Industry preferably in the Upstream sector.
• series forecasting, anomaly detection, predictive analysis, optimization, and common ML algorithms (tree ensembles, gradient boosting, deep learning architectures).
• augmented generation and prompt engineering.
• driven models to support forecasting, optimization and decision support.
• data frameworks (Spark, Databricks).
• MLOps and production deployment experience: containerisation (Docker), orchestration (Kubernetes), CI/CD for models, model packaging (MLflow, Kubeflow, Seldon), 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/operational environments.
• end solution design.

Functional Capabilities

• cases with clear business value (production uplift, downtime reduction, energy optimization, emissions reduction, predictive maintenance, process yield improvement).
• value pilots, estimate effort and support pricing and commercial terms.
• Client engagement & account handling: lead technical client workshops, present to executive audiences, translate technical outputs into actionable recommendations and ROI narratives.
• Business development: lead proposals development, technically and commercially, along with quality and risk management journey internally.
• quality artefacts (analysis reports, dashboards, model documentation) and ensure solutions are operationalized and adopted.
• technical stakeholders using dashboards and executive summaries.
• Identify data quality and instrumentation gaps in operational environments and recommend 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.
• market activities.
• in and drive change adoption.
• suite and technical leadership.

Required Qualifications

• Bachelor’s or Master’s (or higher) degree in Data Science, Computer Science, Statistics, Mathematics, Engineering (Petroleum/Process), or related discipline.
• 10–15 years’ practical experience in data science, analytics or AI roles with significant, demonstrable exposure to the oil & gas industry (upstream mainly).
• end delivery from requirements and PoC to deployment and monitoring.
• Experience leading proposal development, client BD 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 & spoken).
• oriented environment and flexible work hours.
• Willingness to travel across GCC region (50–75% of time).

Additional Preferred Qualifications

• Experience in Consulting/Big Four is a must, 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 is a plus.
• Publications, patents or recognized contributions in AI/ML or industry analytics is an advantage.
• UA, WITSML) is a plus.