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    Job · 21316145

    KOCHI · FULLTIME

    BC - SC and O - O and G Sub surface - Senior Consultant

    Ernst Young

    Ernst Young

    Kochi · onsite · Posted 4d ago

    Sourced fromNaukri
    Undisclosed2–5 yrsfulltimeKochi

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    Section · 01

    About this role

    Job Summary
    Job Title: Senior Consultant Subsurface (O&G Upstream)
    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.
    Desired Experience: 36 years
    Mandatory Skill
    • Subsurface (Reservoir / Petroleum / Production Engineering domain depth)
    Preferred Background
    • Experience with Integrated Oil Companies such as Exxon Mobil / Shell / BP
    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
    • 36 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).

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    Section · 02

    Skills

    data qualityAgilearabicbi toolsBcDiagnosticsAnalyticsAnomaly DetectionEmbedded SystemsCapital MarketsdeploymentData EngineeringDigital TransformationArchitectureAdvanced AnalyticsAi SolutionsData ScienceArtificial IntelligenceForecasting

    Section · Company

    About Ernst & Young

    Ernst Young

    Ernst Young

    Management Consulting

    44k+

    employees

    2002

    24 years old

    Gurgaon / Gurugram, Haryana

    India

    ₹15.3L PA avg

    Avg at Ernst & Young

    About

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