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data & ai director

data privacy assistant

Human Capital Group

Hiring Data Privacy AssistantKey Responsibilities:1. Assist the DPO in implementing and maintaining the data privacy program, policies, and procedures.2. Conduct data inventory and mapping activities to identify personal data processed by the organization.3. Support the execution of Privacy Impact Assessments for new projects and systems.4. Monitor compliance with privacy requirements across departments and third-party vendors.5. Assist in handling Data Subject Access Requests (DSARs) and ensuring timely responses.6. Help investigate and document any personal data breaches and support incident response coordination.7. Maintain privacy documentation such as data registers, consent records, and processing logs.8. Assist in developing and delivering privacy awareness training to employees.9. Collaborate with IT Security and Legal teams to ensure alignment between data protection and cybersecurity controls.10. Support audits and assessments related to privacy compliance (internal and external).11. Liaise with internal departments, the external consultants, and relevant external parties12. Support awareness sessions, workshops, and communication initiatives to promote Data Privacy culture across the organization12. Draft and edit internal communications, memos, and reports13. Collaborate to integrate Data Privacy -related risk considerations into the Bank&rsquo;s risk management processes.14. Track and follow up on Data Privacy KPIs and progress indicators.15. Coordinate with Cybersecurity to ensure data protection across systems and environments.16. Monitor compliance of cloud service providers and vendors, ensuring DPAs are in place.Requirements:<ul><li>Bachelor&rsquo;s degree in Information Technology / Information Systems</li></ul>Cybersecurity / Risk Management<ul><li>3&ndash;5 years of experience in data privacy, compliance, cybersecurity, or risk management</li><li>Experience in banking or other regulated financial environments preferred</li><li>Certification in Data Privacy Protection</li><li>Certification in CIPP/E, CIPM (IAPP), CDPSE, CISM , CRISC (ISACA) is advantage</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>What is your notice period?</li><li>What is your current salary?</li><li>What is your expected salary?</li></ul>Work Location: In person

Data Privacy Assistant

SFAI Qatar

1. Assist the DPO in implementing and maintaining the data privacy program, policies, and procedures.2. Conduct data inventory and mapping activities to identify personal data processed by the Bank.3. Support the execution of Privacy Impact Assessments (PIA / DPIA) for new projects and systems.4. Monitor compliance with privacy requirements across departments and third-party vendors.5. Assist in handling Data Subject Access Requests (DSARs) and ensuring timely responses.6. Help investigate and document any personal data breaches and support incident response coordination.7. Maintain privacy documentation such as data registers, consent records, and processing logs.8. Assist in developing and delivering privacy awareness training to employees.9. Collaborate with IT Security and Legal teams to ensure alignment between data protection and cybersecurity controls.10. Support audits and assessments related to privacy compliance (internal and external).11. Liaise with internal departments, the external consultants, and relevant external parties (e.g., QCB, Data Privacy Office(MOI) , auditors).12. Support awareness sessions, workshops, and communication initiatives to promote Data Privacy culture across the Bank.13. Draft and edit internal communications, memos, and reports in both Arabic and English.14. Collaborate to integrate Data Privacy -related risk considerations into the Bank&rsquo;s risk management processes.15. Track and follow up on Data Privacy KPIs and progress indicators.16. Coordinate with Cybersecurity to ensure data protection across systems and environments.17. Monitor compliance of cloud service providers and vendors, ensuring DPAs are in place.Qualifications and ExperienceEducation&middot; Bachelor&rsquo;s degree in: Information Technology / Information Systems Cybersecurity / Risk Management&middot; Risk Management, Compliance, or related disciplines.&middot; professional certificates in Data Privacy Protection,Experience- 3&ndash;5 years of experience in data privacy, compliance, cybersecurity, or risk management. - Experience in banking or other regulated financial environments preferred. - Familiarity with data protection in cloud and third-party systems.Preferred Certifications- At least one of the following certifications(is additional ) : CIPP/E, CIPM (IAPP) CDPSE, CISM , CRISC (ISACA)Pay: QAR18,000.00 - QAR25,000.00 per hourExperience:<ul><li>data privacy, compliance, cybersecurity, or risk management.: 5 years (Preferred)</li><li>Banking or other financial sector : 5 years (Preferred)</li></ul>Language:<ul><li>Arabic &amp; English (Preferred)</li></ul>License/Certification:<ul><li>CIPP/E, CIPM (IAPP), CDPSE, CISM , CRISC (ISACA) (Preferred)</li><li>QID (Preferred)</li></ul>Work Location: In person

Arab Solutions

<div>
 
 Job Title:
 
 Cognitive AI Product Manager
 
 
 
 Job Description
 
 
 
 The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.
 
 
 
 Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.
 </li>
 <li>
 Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.
 </li>
 <li>
 Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.
 </li>
 <li>
 Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).
 </li>
 <li>
 Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.
 </li>
 <li>
 Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).
 </li>
 <li>
 Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.
 </li>
 <li>
 Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.
 </li>
 <li>
 Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.
 </li>
 <li>
 Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).
 </li>
 <li>
 Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.
 </li>
 <li>
 Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.
 </li>
 <li>
 Excellent stakeholder management across technical, commercial, legal, security, and operations teams.
 </li>
 <li>
 Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.
 </li>
 <li>
 Clear communication and narrative-building for executive and technical audiences.
 
 
 </li>
 </ul>
 
 Potential Background
 
 
 
 <ul>
 <li>
 8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.
 </li>
 <li>
 Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).
 </li>
 <li>
 Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.
 </li>
 <li>
 Experience working with security, privacy, and data governance requirements in regulated environments.
 </li>
 <li>
 Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.
 </li>
 <li>
 Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus.
 
 
 </li>
 </ul>
 Skills: rag/kb,scope control,multicloud,governance,ai/ml,sis,sdks,cloud,documentation,stakeholder,data,slas/olas,analytics
</div>

Cognitive AI Product Manager

Confidential

<div>
 
 Data &amp; AI Director
 
 
 (available different job levels for the same section)
 
 
 This role directs Authority's data and analytics function, covering data governance and management, AI &amp; data analytics, and data platforms. The position sets data strategy and standards, oversees analytical products and AI models, and manages platforms that ingest, integrate, and serve reliable data. It focuses on improving data quality and protection, enabling evidence-based decisions, and delivering analytical solutions that support policy, compliance, operations, and taxpayer services.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Governance &amp; Management
 
 
 <ul>
 <li>
 Sets the Authority-wide data governance framework, roles, and standards (quality, protection, retention, metadata, lineage).
 </li>
 <li>
 Defines and enforces master/reference data models and business glossaries; drives stewardship in business units.
 </li>
 <li>
 Establishes data quality controls, issue management, and remediation SLAs; monitors critical data elements.
 </li>
 <li>
 Oversees data privacy and access controls with Cybersecurity &amp; Enterprise Risk; ensures compliant sharing and usage.
 </li>
 <li>
 Guides policies for third-party/externally sourced data, licensing, and ethical use.
 </li>
 </ul>
 
 
 AI &amp; Data Analytics
 
 
 <ul>
 <li>
 Directs design and delivery of analytical products (descriptive, diagnostic, predictive) and AI/ML models supporting registration, filing, revenue, compliance risk, and service operations.
 </li>
 <li>
 Sets standards for feature engineering, model training/validation, monitoring, and version control; performs drift/bias checks and documentation.
 </li>
 <li>
 Oversees BI/reporting solutions and self-service dashboards; ensures accuracy, timeliness, and clear definitions.
 </li>
 <li>
 Leads experimentation, PoCs, and model lifecycle reviews; retires/refreshes models based on performance and business value.
 </li>
 <li>
 Coordinates with functional teams to embed analytics into processes (alerts, case scoring, workflows) and measure impact.
 </li>
 </ul>
 
 
 Data Platforms
 
 
 <ul>
 <li>
 Directs architecture and roadmap for data ingestion, integration, storage, and processing (data lake/warehouse, streaming, MDM).
 </li>
 <li>
 Oversees pipelines, ETL/ELT, API integrations, and data virtualization to ensure completeness, scalability, and reliability.
 </li>
 <li>
 Ensures platform security, performance, and cost control; approves capacity and disaster recovery plans.
 </li>
 <li>
 Manages product backlog for data platforms; prioritises enhancements and release management with IT/Application teams.
 </li>
 <li>
 Establishes reusable data products and curated datasets for policy, audit, revenue, and service use cases.
 </li>
 </ul>
 
 
 Governance, Risk &amp; Ethics
 
 
 <ul>
 <li>
 Maintains the data/AI risk register; defines controls for privacy, model risk, explainability, and human-in-the-loop review.
 </li>
 <li>
 Ensures compliance with internal policies and applicable standards; closes internal/external audit findings with sustainable fixes.
 </li>
 <li>
 Sets procedures for consent, minimisation, and sensitive-data handling; reviews requests for new high-risk use cases.
 </li>
 </ul>
 
 
 Operations, Performance &amp; Financials
 
 
 <ul>
 <li>
 Defines KPIs and dashboards for data quality, platform reliability (uptime, latency), model performance, and BI adoption.
 </li>
 <li>
 Oversees demand intake, effort/benefit assessment, and delivery cadence; resolves cross-team dependencies.
 </li>
 <li>
 Manages vendor contracts, tools, and licenses; tracks run-vs-change spend and unit costs; drives optimisation.
 </li>
 </ul>
 
 
 Stakeholder Coordination &amp; Enablement
 
 
 <ul>
 <li>
 Aligns with Information Technology, Applications &amp; Digital Experience, and Infrastructure &amp; Operations on integrations, security, and releases.
 </li>
 <li>
 Partners with Policy &amp; Legislation, Taxpayer Affairs, and Compliance to translate priorities into data/AI initiatives and measurable outcomes.
 </li>
 <li>
 Builds data literacy and self-service capabilities through standards, training, and a governed semantic layer/metrics store.
 </li>
 </ul>
 
 Publishes periodic insights and risk reports to support leadership decisions.
 
 
 
 
 
 
 Preferred Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, Economics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree (e.g., Data/Analytics, Information Systems, Statistics, MBA/MPA) is an advantage.
 </li>
 </ul>
 
 Relevant certifications are an advantage (e.g., DAMA/DMBOK, CDMP, cloud data certifications, ML/AI certifications, ITIL/COBIT).
 
 <ul>
 <li>
 16+ years across data governance/management, analytics/AI, and data platform engineering, including leadership of multi-disciplinary teams.
 </li>
 <li>
 Proven delivery of organisation-wide data standards, high-value analytical products, and resilient data platforms.
 </li>
 <li>
 Experience embedding models into operations (risk scoring, anomaly detection, performance dashboards) and monitoring outcomes.
 </li>
 </ul>
 
 Coordination with cybersecurity, applications, infrastructure, and business departments; vendor and contract management.
 
 <ul>
 <li>
 Data architecture (lake/warehouse, MDM), ETL/ELT, APIs/integration, and metadata/lineage management.
 </li>
 <li>
 Data quality and protection controls; role-based access, tokenisation/segmentation where applicable.
 </li>
 <li>
 Analytics/ML lifecycle (feature stores, model ops, monitoring) and BI product management.
 </li>
 <li>
 KPI design, experiment/impact measurement, and concise executive reporting.
 </li>
 </ul>
 
 Strong stakeholder engagement, prioritisation, and decision-making grounded in evidence.
 
</div>

Data & AI Director

PROZ TECHNOLOGIES

JOB DESCRIPTIONThe Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.DUTIES &amp; RESPONSIBILITIES<ul><li>Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.</li><li>Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.</li><li>Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.</li><li>Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).</li><li>Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.</li><li>Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).</li><li>Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.</li><li>Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.</li><li>Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.</li><li>Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.</li></ul>SKILLS &amp; ABILITIES<ul><li>Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).</li><li>Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.</li><li>Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.</li><li>Excellent stakeholder management across technical, commercial, legal, security, and operations teams.</li><li>Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.</li><li>Clear communication and narrative-building for executive and technical audiences</li></ul>POTENTIAL BACKGROUND<ul><li>8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.</li><li>Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).</li><li>Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.</li><li>Experience working with security, privacy, and data governance requirements in regulated environments.</li><li>Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.</li><li>Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus</li></ul>PREFERRED TOOLS / SOFT SKILLS<ul><li>Product delivery: Azure DevOps Boards, roadmapping tools (Aha!/Jira Product Discovery)</li><li>Analytics: PostHog, KPI dashboards (Power BI)</li><li>API/product artifacts: OpenAPI/Swagger, Postman, documentation portals (Backstage/ReadMe-style)</li><li>Collaboration: Miro, Figma, MS Teams</li></ul>Soft skills<ul><li>Strong facilitation and workshop leadership (requirements, prioritization, discovery)</li><li>Structured thinking and ability to simplify complex technical domains into clear product increments</li><li>Commercial awareness: scope control, value-based prioritization, and vendor management</li><li>Customer-centric mindset with bias toward measurable adoption and developer productivity</li><li>High ownership and accountability; ability to unblock delivery across teams</li><li>Confident communication with executives, architects, and vendors; crisp written documentation</li></ul>Job Type: PermanentPay: Up to QAR23,000.00 per monthWork Location: In person

INTERNATIONAL SCHOOL OF LONDON

Role OverviewThe Digital Infrastructure Specialist ensures the reliability, security, and innovation of ISL Qatar&rsquo;s digital platforms, cloud infrastructure, and data integration systems. This role leverages automation and AI tools to streamline operations, enhance troubleshooting, and maintain comprehensive documentation, supporting the school&rsquo;s digital transformation.Required Qualification and Experience<ul><li>Bachelor's degree in Information Technology, Computer Science or related field</li></ul>Essential<ul><li>Excellent communication skills to support students, staff and parents in a multicultural environment.</li><li>Hands-on experience with cloud infrastructure (Azure Active Directory, Microsoft 365, or similar).</li><li>Device management expertise (Intune, Meraki, or other MDM platforms).</li><li>PowerShell Scripting ability.</li><li>Experience with API management, configuration, and troubleshooting.</li><li>Familiarity with Azure Data Factory or similar data integration tools.</li><li>Experience collaborating with contractors and managing outsourced IT services.</li><li>Strong troubleshooting skills and systematic problem-solving approach.</li><li>Ability to communicate technical concepts clearly to non-technical users.</li><li>Proven ability to implement and manage cyber security measures, including firewalls, encryption, and multi-factor authentication.</li><li>Experience monitoring, detecting, and responding to security incidents, with a strong understanding of data privacy and compliance standards.</li><li>Proven ability to create and maintain clear, comprehensive technical documentation.</li><li>(Preferred) Experience in the educational sector and understanding of school workflows.</li></ul>Technical Knowledge<ul><li>Microsoft Azure Active Directory (user management, group policies, conditional access).</li><li>Microsoft Intune (device configuration, compliance, app deployment).</li><li>Microsoft 365 (Teams, Exchange, SharePoint).</li><li>PowerShell scripting and automation.</li><li>API management platforms and RESTful API concepts.</li><li>Azure Data Factory (data pipelines, integration runtime, monitoring).</li><li>Educational technology platforms (ClassLink, iSAMS, or similar SSO/roster systems).</li><li>Multi-factor authentication (MFA) setup and troubleshooting.</li><li>Basic networking and WiFi connectivity.</li><li>Microsoft Graph API (for advanced automation).</li></ul>Key Responsibilities: User and Account Management<ul><li>Reset passwords and resolve login issues.</li><li>Create, configure, and remove user accounts for staff and students.</li><li>Manage bulk student account provisioning at the start of each academic year.</li><li>Set up and support multi-factor authentication (MFA).</li><li>Control system access based on user roles</li></ul>Device and Hardware Support<ul><li>Troubleshoot network, internet, and device connectivity issues.</li><li>Support and manage over 200 iPads, including inventory and assignment.</li><li>Configure devices, deploy apps, and enforce compliance policies.</li><li>Maintain staff laptops management and enrolment.</li><li>Support the students BYOD programme.</li><li>Oversee device replacement and recycling.</li><li>Managing purchasing and payment methods for platforms such as Apple VPP and Play Store</li></ul>Educational Software Systems<ul><li>Maintain ClassLink and ensure correct syncing of rosters.</li><li>Add, Manage and Remove SSO and Rostering of all applications used across the school</li><li>Troubleshoot access and integration issues with educational applications (e.g., Renaissance Learning, McGraw Hill, IXL, Kognity, MAP).</li><li>Manage annual updates and configuration changes for new school year data.</li><li>Set access permissions for different grade levels and subjects.</li></ul>Systems and Infrastructure<ul><li>Manage Azure Active Directory, Microsoft 365 (Teams, Outlook, file storage), and Intune, including troubleshooting, policy management and configuration.</li><li>Administer the ticketing system.</li><li>Oversee network connectivity and Wi-Fi access.</li><li>Troubleshoot cloud service access issues.</li></ul>API Management and Data Integration<ul><li>Configure, maintain, and monitor APIs connecting internal and external systems to ensure secure and reliable data exchange.</li><li>Manage API authentication, permissions, and documentation.</li><li>Oversee the integration and automation of data flows between platforms using Azure Data Factory and similar tools.</li><li>Troubleshoot and resolve issues related to API connectivity and data pipelines.</li><li>Collaborate with vendors, contractors, and internal teams to implement new integrations and maintain existing ones.</li></ul>Cyber Security<ul><li>Implementing and maintaining robust security measures (such as firewalls, encryption, and multi-factor authentication) to protect systems, networks, and data from cyber threats.</li><li>Monitoring for vulnerabilities and suspicious activity and responding promptly to security incidents.</li><li>Conducting regular risk assessments, security audits, and compliance checks.</li><li>Keeping up to date with the latest cyber threats and best practices and proactively recommending improvements.</li><li>Support the Innovation Coaches to educate staff and students on cyber security awareness and safe digital practices.</li><li>Ensuring all digital processes and third-party integrations comply with data protection and privacy regulations.</li></ul>Contractor Collaboration and Outsourcing<ul><li>Actively collaborate with external contractors and service providers.</li><li>Ensure all external parties are fully utilised and engaged in relevant projects.</li><li>Prioritise outsourcing and external expertise before allocating internal resources or time.</li><li>Coordinate and monitor contractor performance to ensure quality and timely delivery.</li></ul>Automation and Scripting<ul><li>Use PowerShell to automate repetitive tasks and bulk operations (e.g., account creation, password resets).</li><li>Automate device management and data workflows.</li><li>Maintain and update scripts as systems evolve.</li></ul>Projects and Planning<ul><li>Lead the annual rollover project: provisioning accounts, updating rosters, and preparing devices.</li><li>Plan and execute ClassLink and application integration updates.</li><li>Manage MFA implementation and respond to security incidents.</li></ul>Documentation<ul><li>Create and maintain comprehensive documentation for all processes, utilising AI-powered tools like Copilot to ensure clarity and accuracy.</li><li>Ensure documentation is clear, up-to-date, and accessible to relevant stakeholders.</li><li>Regularly review and update documentation to reflect changes in systems, workflows, and best practices.</li></ul>Troubleshooting and Problem Solving<ul><li>Resolve complex technical issues and system integration problems, leveraging AI tools such as Copilot to enhance efficiency.</li><li>Research and implement new educational technology solutions.</li><li>Handle escalated support tickets requiring deep technical expertise.</li></ul>Pay: QAR8,000.00 - QAR13,000.00 per hourExpected hours: 40.0 per weekWork Location: In person

Digital Infrastructure Specialist

Saipem

<div>
 
 Saipem
 
 is a global leader in the engineering and construction of major projects for the energy and infrastructure sectors, both offshore and onshore. Saipem is &ldquo;One Company&rdquo; organized into business lines:
 
 Asset Based Services, Drilling, Energy Carriers, Offshore Wind, Sustainable Infrastructures, Robotics &amp; Industrialized Solutions.
 
 Always oriented towards technological innovation, the company&rsquo;s purpose is
 
 &ldquo;Engineering for a sustainable future&rdquo;
 
 . As such Saipem is committed to supporting its clients on the energy transition pathway towards Net Zero, with increasingly digital means, technologies and processes geared for environmental sustainability. Listed on the Milan Stock Exchange, it is present in more than
 
 50 countries
 
 around the world and employs about
 
 30,000 people of over 130 nationalities.
 
 
 
 
 Purpose Of The Position
 
 
 
 As
 
 Offshore Methods Engineer
 
 , you will respond to the
 
 Project Manager
 
 and be part of the
 
 COMP2 / Ruya12 project
 
 within
 
 Subsea Engineering Department.
 
 
 
 
 How can you support us? Here below your responsibilities:
 
 
 
 <ul>
 <li>
 Prepare complete engineering Installation package (installation procedures / rigging drawing / check list dossier / trial lift &amp; load out procedures etc.)
 </li>
 <li>
 Follow up all the Interfaces with Installation analysis team (naval eng. / structural eng. / pipelay analysis eng.) including input &amp; deeply review of analysis / design report.
 </li>
 <li>
 Follow up operation phase (including temporary items material procurement, vessel mobilization, subcontractors contract(s) etc.);
 </li>
 <li>
 Follow up onshore &amp; offshore operation to technical assist (project side) vessel management team during mobilization / testing &amp; installation phase.
 </li>
 <li>
 Follow up and manage team of young eng. (method / ops eng) + draftsman for preparation of Installation documents.
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Education: Master&rsquo;s degree in Mechanical/Civil (preferable) or other Engineering degree
 </li>
 <li>
 Experience: Minimum 5-10 years in Installation engineering (including operation follow up / offshore &amp; yard experiences)
 </li>
 <li>
 Languages: Proficient in English
 </li>
 <li>
 Technical Skills / Knowledge with:
 </li>
 <li>
 With particular reference (but not limited to) to shallow water activities (S-Lay / Jacket / Deck / Cables / Structures installation)
 </li>
 <li>
 EPC
 </li>
 <li>
 Offshore Transportation and Installation Experience
 </li>
 <li>
 Onshore / Offshore based
 </li>
 <li>
 IT Skills:
 </li>
 <li>
 Office package (including Microsoft Project)
 </li>
 <li>
 Good knowledge of main offshore T&amp;I codes (DNV/API etc.)
 </li>
 <li>
 Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)
 </li>
 <li>
 Advanced Microsoft Excel skills
 
 
 </li>
 </ul>
 
 What Can We Offer To You
 
 
 
 <ul>
 <li>
 Permanent Contract - Project-based position
 </li>
 <li>
 Corporate Benefits: We offer a comprehensive benefits package
 </li>
 <li>
 Working Hours: 45 hours weekly (9 hours x 5 days)
 </li>
 <li>
 Our One Saipem Way soft skills model leverages on skills development, career growth, opportunities to innovate through complex challenges by promoting communication and collaboration to achieve common goals.
 </li>
 <li>
 Location: Doha, Qatar
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 We support your development!
 
 Do you feel you might not fit this role perfectly? If you think you can contribute to our business development in the future, don&rsquo;t hesitate to apply anyway through our spontaneous application form!
 
 
 
 We embrace diversity!
 
 At Saipem, we believe that innovation thrives through diversity. Our culture is built on mutual respect, collaboration, inclusion and the belief that our differences drive our progress.
 
 
 
 Safety and Sustainability matter to us!
 
 Operating in difficult and at times extreme situations, the focus is always on the health and safety of people and the preservation of the natural ecosystem.
 
 
 
 Find out more on our career page
 
 
 here
 
 
 
 
 One
 
 vision,
 
 many
 
 paths,
 
 limitless
 
 possibilities.
 
 
 
 PRIVACY POLICY
 
 
 
 In accordance with the Qatar's Personal Data Privacy Protection Law (PDPPL) enacted as Law No. 13 of 2016 (&ldquo;GDPR&rdquo;). All interested candidates (L. 903/03) are invited to consult the privacy policy (art 13, 14, D.Lgs 196/03 and art 13 GDPR 679/16)
</div>

Offshore Methods Engineer

Explore 342+ Data privacy assistant in Doha Qatar this April. Find roles across top companies and apply now to boost your career.

342 data privacy assistant jobs In Doha Qatar

Data Privacy Assistant

Data Privacy Assistant

Cognitive AI Product Manager

Data & AI Director

Cognitive AI Product Manager

Digital Infrastructure Specialist

Offshore Methods Engineer