HSE Expert (Oil & Gas)

Role TypeEmbedded in an AI/digital use‑case delivery squadReports to the Consulting Delivery LeadWorks alongside product managers, data scientists/engineers, and solution architectsWhat We Need (Summary For Recruiters)We need an HSE professional with 5–10 years of operational Oil & Gas experience who can act as the functional bridge between the business and the technical build team.They DO NOT need to code—but they must be able to translate HSE requirements into technical inputs, validate model outputs, and work closely with the delivery team throughout build and rollout.This role supports AI‑enabled use case development across the full value chain (upstream, midstream, downstream). Key strength is industry credibility + structured analytical thinking + strong documentation.Arabic optional; English required.No Certifications Required Beyond Core HSE Experience.Candidate Profile DetailsExperience5–10 years HSE experience within Oil & Gas (operations, projects, or integrated company experience all acceptable)Must have firsthand exposure to typical HSE workflows such as:Incident reporting & investigation (RCA)Permit-to-Work (PTW)Job Safety Analysis / Task Risk AssessmentSIMOPSContractor HSELeading/lagging indicatorsExperience working with digital or data teams preferred, but not required if the candidate demonstrates strong analytical ability and structured communication.Functional Strengths to Look ForCan clearly articulate how HSE processes work in reality (field-level understanding).Can describe typical operational pain points, data gaps, and risk areas.Understands incident taxonomies, hierarchy of controls, and barrier management concepts.Comfortable documenting detailed requirements, writing use-case descriptions, and supporting UAT.Able to engage credibly with stakeholders across field HSE, operations, and leadership.Technical/Digital Expectations (Non‑Coding)Look For Candidates Who CanWork with data/AI teams to define features, validate model outputs, and challenge assumptionsUnderstand basic analytics concepts (metrics, data quality, dashboards, classification)Participate in end‑user testing and assess whether outputs make sense operationallyTranslate feedback from business users into clear improvements for developersThey do not need to be a data scientist, developer, or ML engineer.Role Responsibilities (For Screening)Recruiters should ensure candidates can handle the following responsibilities:Business Requirements & TranslationRun requirement‑gathering sessions with HSE and operationsDocument user stories, acceptance criteria, and constraintsTranslate functional needs to technical teams without losing contextUse Case Build SupportProvide domain input for AI/analytics use cases (predictive safety, PTW analytics, incident text analysis, etc.)Support definition of labels, event taxonomies, and data classificationsValidate model outputs and dashboards for accuracy and operational relevanceStakeholder EngagementCommunicate effectively with field HSE teams, supervisors, and operations managersSupport change/adoption activities and participate in pilot deployment sessionsHelp refine solutions based on operator/HSE user feedbackGovernance & QualitySupport data quality definition and monitoringEnsure functional alignment to existing HSE policies and regulatory expectationsHelp document governance processes and solution playbooksMust‑Haves5–10 years in Oil & Gas HSEStrong communication and documentation skillsExperience working cross‑functionally with technical or digital teamsSolid grasp of HSE processes and field realitiesEnglish fluencyNice‑to‑HavesExposure to AI/ML or analytics projectsExperience with any digital tools: Power BI, PTW systems, incident management tools, CMMS, etc.Arabic languageDeal‑BreakersCandidate is purely corporate HSE with no operational exposureCandidate expects to manage a team (this is IC)Candidate lacks the ability to write structured requirements or explain processes clearlyCandidate is uncomfortable engaging with technical teams#J-18808-Ljbffr