Arabic jobs in United Kingdom

The TPM will play a key role in overseeing the end-to-end delivery of AI, analytics, and software engineering projects, from model development, data pipeline integration, dashboard creation, API development, and backend services development. Reporting to the Technical Program Manager, you will be responsible for managing project scope, schedule, budget, risk, and quality, and ensuring the cross-functional team of engineers and data scientists adhere to best practices in software architecture, code quality, testing, and deployment.

Key Responsibilities

1. Project Planning & Execution
2. Create detailed project plans covering AI/ML workstreams, software architecture design, UI/dashboard development, APIs, and infrastructure.
3. Track milestones such as POCs, MVPs, QA cycles, UAT, and production rollouts, ensuring on-time and on-budget delivery.

1. Technical Leadership & Software Engineering
2. Decompose high-level objectives into technical work packages: data ingestion jobs, model training, microservices, frontend dashboards.
3. Lead architecture reviews, ensure coding standards, automated testing (unit/integration), and CI/CD pipelines.
4. Coach teams on design patterns, RESTful API best practices, scalable database/schema design, and cloud-native deployments.

1. Cross-Functional Coordination
2. Facilitate agile ceremonies (stand-ups, sprint planning, backlog grooming, retrospectives) across software and data teams.
3. Coordinate handoffs between UI/UX designers, frontend developers, backend engineers, and DevOps to maintain smooth integration.

1. Stakeholder & Vendor Management
2. Act as liaison with product owners, domain experts, external vendors.
3. Present technical status, burn-down charts, release plans, and quality metrics to leadership and stakeholders.

1. Risk & Issue Management
2. Identify AI-specific (data drift, model performance) and software-specific (security, scalability, tech debt) risks.
3. Maintain risk logs, propose mitigation strategies, and escalate critical issues.

1. Quality Assurance & Compliance
2. Ensure code reviews, automated testing coverage, and performance testing are in place.
3. Oversee system integration testing, UAT, and ensure compliance with security standards (ISO, API).

Required Skills & Experience:

• Bachelor's in Computer Science, Software Engineering, or related.
• 3+ years managing software engineering, AI, or data analytics projects in Oil & Gas or similar industries.
• Demonstrated success in managing and aligning diverse stakeholders.
• Communication: Ability to articulate technical concepts, architecture diagrams, and code quality metrics to both technical and non-technical audiences.
• Analytical: Ability to extract insights from performance metrics, error rates, and KPIs to drive continuous improvement.
• Problem Solving: Quick diagnosis of system failures, code regressions, and data pipeline issues, leading to resolutions.
• Deep expertise in Agile methodologies (Scrum, Kanban) and a solid grasp of Waterfall practices.
• Hands-on experience with tools such as Jira, Confluence, CI/CD pipelines (e.g., Jenkins, GitLab CI), and cloud platforms (OCI, GCP).
• Solid understanding of architectural and operational differences between cloud-native and on-premises environments.
• Fluent in both Arabic and English.
• Must be eligible and authorized to work in the Kingdom of Saudi Arabia (KSA).

Preferred Qualifications:

• Certification in PMP, Agile Project Management, PRINCE2, or Scrum Master (CSM or equivalent).
• Master's in Software Engineering, Data Science, or Project Management.
• Experience with containerization (Docker/Kubernetes), microservices, and infrastructure-as-code (Terraform).
• Domain knowledge in refinery automation, LLMs, or digital twins.
• Familiarity with SCADA, PI System, or SAP integrations.

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