At EY were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Manager Subsurface (O&G Upstream)
Desired Experience: 810 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
- 810 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.
Required Experience:
Manager
At EY were all in to shape your future with confidence.Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.Manager Subsurface (O&G Upstream)Desired Experience: 810 yearsMandatory S...
At EY were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Manager Subsurface (O&G Upstream)
Desired Experience: 810 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
- 810 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.
Required Experience:
Manager
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