- 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