Qureos

Find The RightJob.

HSE Expert Oil & Gas

  • Embedded in an AI/digital use case delivery squad
  • Reports to the Consulting Delivery Lead
  • Works alongside product managers, data scientists/engineers, and solution architects
Role Type
  • Individual Contributor
  • Embedded in an AI/digital use case delivery squad
  • Reports to the Consulting Delivery Lead
  • Works alongside product managers, data scientists/engineers, and solution architects
What 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 Details Experience
  • 5-10 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 Assessment
  • SIMOPS
  • Contractor HSE
  • Leading/lagging indicators
  • Experience working with digital or data teams preferred, but not required if the candidate demonstrates strong analytical ability and structured communication.
Functional Strengths to Look For
  • Can 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 Can
  • Work with data/AI teams to define features, validate model outputs, and challenge assumptions
  • Understand basic analytics concepts (metrics, data quality, dashboards, classification)
  • Participate in end-user testing and assess whether outputs make sense operationally
  • Translate feedback from business users into clear improvements for developers

They 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 & Translation
  • Run requirement-gathering sessions with HSE and operations
  • Document user stories, acceptance criteria, and constraints
  • Translate functional needs to technical teams without losing context
  • Use Case Build Support
  • Provide domain input for AI/analytics use cases (predictive safety, PTW analytics, incident text analysis, etc.)
  • Support definition of labels, event taxonomies, and data classifications
  • Validate model outputs and dashboards for accuracy and operational relevance
  • Stakeholder Engagement
  • Communicate effectively with field HSE teams, supervisors, and operations managers
  • Support change/adoption activities and participate in pilot deployment sessions
  • Help refine solutions based on operator/HSE user feedback
  • Governance & Quality
  • Support data quality definition and monitoring
  • Ensure functional alignment to existing HSE policies and regulatory expectations
  • Help document governance processes and solution playbooks
Must-Haves
  • 5-10 years in Oil & Gas HSE
  • Strong communication and documentation skills
  • Experience working cross-functionally with technical or digital teams
  • Solid grasp of HSE processes and field realities
  • English fluency
Nice-to-Haves
  • Exposure to AI/ML or analytics projects
  • Experience with any digital tools: Power BI, PTW systems, incident management tools, CMMS, etc.
  • Arabic language
Deal-Breakers
  • Candidate is purely corporate HSE with no operational exposure
  • Candidate expects to manage a team (this is IC)
  • Candidate lacks the ability to write structured requirements or explain processes clearly
  • Candidate is uncomfortable engaging with technical teams

© 2026 Qureos. All rights reserved.