BC - SC and O - O and G Upstream Ops - Manager
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Key details
Why this role is notable
A Big Four consultancy is hiring non-coding oil and gas domain experts to embed in AI delivery squads, suggesting that the bottleneck in applying AI to energy production is translating field operations knowledge into models rather than the modeling itself.
Job Description
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Manager – Subsurface (O&G Upstream)
Desired Experience: 8–10 years
Mandatory Skill:
- O&G Upstream Operations (Field / Production Operations domain depth)
Preferred Background:
- Experience with Integrated Oil Companies such as Exxon Mobil / Shell / BP
Role Purpose
Upstream Operations Subject Matter Expert (SME) embedded within a digital / AI use case delivery squad, acting as the functional bridge between upstream operations 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 upstream operations analytics / AI solutions to improve asset profitability, production efficiency, and recovery.
Operating Model & Reporting
- Workstream leadership role within an Agile / product-style delivery environment; responsible for end-to-end functional success of upstream operations use cases from discovery to deployment.
- Interfaces with upstream business teams and technical delivery teams (product managers, data scientists, data engineers, solution architects).
- Reports into Consulting Delivery Leadership and partners closely with MENA stakeholders on SC&O / Digital Ops priorities.
Key Responsibilities
- Upstream Operations Use Case Discovery & Functional Support
- Lead discovery sessions with upstream operations stakeholders to capture decision workflows, operational pain points, constraints, and success criteria
- Own the creation of structured documentation: use case descriptions, functional requirements, assumptions, constraints, acceptance criteria, and stakeholder-ready narratives.
- Define and align upstream operations transformation roadmaps to improve asset profitability, production efficiency, and recovery.
- Digital / AI Use Case Delivery Support (Non-Coding)
- Translate upstream operations requirements into technical inputs for delivery teams (features, inputs, operational constraints, data definitions/classifications), ensuring feasibility and traceability.
- Support delivery of upstream operations digital solutions by helping define and validate data and workflow needs, including combining inputs from field planning, operations, and finance for performance optimization
- Validate analytics outputs, dashboards, and insights against operational realism and operating philosophies; drive iterative improvements with product/data teams.
- Stakeholder Management & Client-Facing Delivery
- Act as a trusted interface between upstream operations stakeholders and technical delivery teams; sustain credibility through practical workflow understanding.
- Lead structured feedback cycles (including pilots and phased rollouts) and convert feedback into clear requirements/backlog items.
- Lead cross-functional engagement and interviews across relevant upstream stakeholders as needed for platform delivery (e.g., field operations interfaces such as drilling/completions/facilities, HSE & emissions, finance/accounting, data infrastructure).
- Governance, Quality & Assurance
- Support definition of data quality standards, operational assumptions, and validation checkpoints for upstream operations datasets and model outputs.
- Ensure solutions align with established practices and contribute to documentation, playbooks, and governance artifacts for deployed use cases.
- Drive UAT planning and execution from a functional lens; confirm outputs are credible and usable for operations decision-making.
Required Experience & Qualifications
- 8–10 years of upstream Oil & Gas experience with strong upstream operations / field operations depth.
- Practical experience articulating upstream operations workflows in practice, including operational constraints and data quality considerations.
- Strong communication and structured documentation skills; ability to translate operations concepts clearly to non-engineers and technical teams.
- Demonstrated cross-functional delivery experience spanning operations / engineering / digital teams in Agile delivery environments.
- Fluency in English (mandatory).
- Engineering Degree in Chemical / Mechanical / Instrumentation / Petroleum disciplines
- MBA
- 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 upstream operations / production data sources and reporting environments used for operational performance tracking.
- Arabic language capability (optional).
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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Audit details(provenance, verification trail, raw fields)
Core fields
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