Experience

Driving digital transformation initiatives focused on Engineering Digital Twin enablement and Autonomous Operations strategy for ADNOC assets. Responsible for vendor technical leadership, digital architecture definition, autonomous operations roadmap development, and data strategy to ensure long-term operational sustainability and AI-driven decision-making capability.

• Vendor Technical Leadership — Leading technical discussions with Digital Twin, AI, analytics, and robotics vendors; conducting detailed technical evaluations and preparing Technical Bid Evaluation (TBE) reports; reviewing technology stacks, system scalability, cybersecurity compliance, and integration feasibility.
• Digital Architecture Definition — Designing high-level and logical digital architectures; defining integration frameworks between engineering systems, historian platforms, enterprise systems, and AI layers; reviewing and optimizing vendor-proposed architectures for long-term operational sustainability.
• Autonomous Operations Roadmap — Defining L4/L5 level autonomous operational use cases; identifying workflows suitable for AI-driven decision-making; developing future-state scenarios aligned with ADNOC's long-term digital vision.
• Data Strategy & Flow Design — Designing structured data flows (real-time and batch); defining contextualization models and asset hierarchy alignment; ensuring engineering data readiness for AI-driven applications and Digital Twin environments.
• Digital Governance & Standard Alignment — Ensuring compliance with ADNOC digital frameworks and engineering standards; supporting lifecycle data integrity and structured digital handover philosophy.
• Positioned ADNOC assets for advanced autonomous operations through strategic vendor evaluation and architectural alignment with enterprise AI/ML capabilities.
• Established data flow architectures and governance frameworks enabling structured Digital Twin enablement across multiple operational domains.

Agile Product Owner for a globally deployed enterprise engineering software platform used by Oil & Gas operators, EPCs, and industrial enterprises across 50+ countries — owning the product backlog, roadmap, and end-to-end delivery of document intelligence, data automation, and engineering data management features.

• Owned the product backlog end-to-end — writing and refining user stories and epics, prioritising features against business value and client requirements, and managing sprint delivery with cross-functional engineering teams using JIRA and Azure DevOps.
• Led sprint planning, backlog grooming, sprint reviews, and retrospectives across multiple Agile release cycles — maintaining velocity, managing dependencies, and ensuring features met acceptance criteria before release.
• Defined POC scope with external vendors and EPC partners, evaluated solution deliverables against requirements, and managed structured rollout into regulated client environments.
• Worked directly with enterprise clients and stakeholders to gather requirements, validate feature delivery, and translate complex technical constraints into clear, actionable user stories.
• Designed and specified AI-enhanced document intelligence workflows — LLM-assisted extraction, hybrid validation pipelines, and structured data management for demanding industrial environments.
• Managed product quality end-to-end: defined test scope, coordinated QA cycles, and owned patch and hotfix release cadence for enterprise clients with zero-tolerance for data errors.
• Document automation features reduced manual review effort by 80% — validated with enterprise Oil & Gas clients.
• Automated validation pipelines improved data quality metrics by 85% in controlled client environments.
• Recognised with 3× Performance Excellence Awards and 2× Project Excellence Awards for delivery on critical product milestones.
• Features shipped to global enterprise clients across Oil & Gas, Power, Chemicals, and Industrial sectors — including UAE and Middle East operations.

Built hands-on domain expertise across P&ID development, SmartPlant Instrumentation (SPI), instrument data sheets, engineering document control, and EPC project data workflows — the technical foundation that informs how I evaluate, scope, and govern digital delivery in industrial environments.

• Delivered instrument data sheets, equipment lists, and technical documentation for Oil & Gas EPC projects — developing deep fluency in how industrial data is structured, reviewed, approved, and handed over across project lifecycles.
• Developed expertise in SmartPlant Instrumentation (SPI) and engineering data management systems — grounding that directly informs how I evaluate and govern digital programme delivery in industrial environments.