Senior Consultant - subsurface

Senior Consultant Subsurface (O&G Upstream)

Desired Experience: 3–6 years

Mandatory Skill:

• Subsurface (Reservoir / Petroleum / Production Engineering domain depth)

Preferred Background:

• Experience with Integrated Oil Companies such as Exxon Mobil / Shell / BP

Role Purpose

Subsurface Subject Matter Expert (SME) embedded within a digital / AI use case delivery squad, acting as the functional bridge between upstream subsurface stakeholders and cross-functional technical teams (product, data science, data engineering, architecture). The role is non-coding and focuses on shaping, translating, validating, and governing subsurface analytics / AI solutions across the upstream value chain.

Operating Model & Reporting

• Individual contributor role within an Agile / product-style delivery environment; supports functional delivery of subsurface use cases from discovery to deployment.
• Works closely with upstream business teams (subsurface, production interface points) and technical delivery teams (product managers, data scientists, data engineers, solution architects).
• Reports to Senior Manager / Manager – Subsurface (O&G Upstream) and supports Consulting Delivery Leadership priorities for SC&O / Digital Ops engagements.

Key Responsibilities

• Subsurface Use Case Discovery & Functional Support

• Support discovery workshops with subsurface stakeholders to capture decision workflows, value drivers, pain points, uncertainties, and success criteria.

• Draft and maintain structured documentation under Manager guidance: use case descriptions, functional requirements, assumptions, constraints, and acceptance criteria.

• Support alignment of target outcomes and operational realism across subsurface-to-production workflows.

• Digital / AI Use Case Delivery Support (Non-Coding)

• Translate subsurface requirements into technical inputs for delivery teams (features, inputs, constraints, classifications), ensuring feasibility and traceability.

• Support domain inputs across upstream analytics / AI solution areas such as:

• Reservoir performance analytics and forecasting

• Production surveillance / optimization linkages

• Well performance diagnostics and root cause analysis

• Decline analysis and anomaly detection

• Field development planning decision support

• Review and validate analytics / AI outputs and dashboards for domain realism and engineering alignment; escalate concerns and recommendations to the Manager.

• Stakeholder Management & Client-Facing Delivery

• Engage with subsurface teams, production interface stakeholders, and technical teams to gather structured feedback and convert it into actionable requirements/backlog items.

• Support pilot deployments and phased rollouts by coordinating feedback cycles and tracking issue resolution with delivery teams.

• Support preparation of stakeholder-ready narratives and inputs for proposals / solution articulation aligned to subsurface transformation priorities.

• Governance, Quality & Assurance

• Support definition and application of data quality checks, engineering assumptions, and validation checkpoints for subsurface datasets and model outputs.

• Contribute to playbooks, solution documentation, and governance artifacts for deployed use cases.

• Support UAT planning and execution; document findings and confirm outputs are credible and usable for engineering decision-making.

Required Experience & Qualifications

• 3–6 years of upstream Oil & Gas experience with strong subsurface depth (Reservoir / Production / Petroleum Engineering).
• Practical understanding of subsurface workflows (not theory-only), including uncertainty handling and data quality considerations.
• Strong communication and structured documentation skills; ability to translate engineering concepts clearly to non-engineers and technical teams.
• Demonstrated cross-functional delivery experience spanning engineering / operations / digital teams.
• Fluency in English (mandatory).
• Engineering Degree in Chemical / Mechanical / Instrumentation / Petroleum disciplines
• Experience from/with IOC environments and particularly Exxon Mobil / Shell / BP-type operating models.

Preferred / Nice-to-Have

• Exposure to AI, advanced analytics, digital transformation, optimization, or surveillance initiatives in upstream contexts.
• Familiarity with engineering / digital tools (surveillance systems, production databases, BI tools).
• Arabic language capability (optional).