HSE Expert (Oil & Gas)

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:

1. 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

2. 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

3. 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

4. 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