The Asset technology Manager will identify, shape, and execute high-value digital innovation and transformation opportunities across the company’s assets, leveraging proven practices and ROI-generating use cases.
The role will drive measurable asset performance improvement through AI-driven optimization, advanced analytics, integrated subsurface/surface data insights, predictive maintenance, event prediction, and production/deferment reduction initiatives.
This position is accountable for converting innovation into sustained operational outcomes through structured delivery, executive engagement, and change leadership, working closely with Asset leaders.
Your Job Description
Key Responsibilities
Asset Digital Innovation Strategy & Portfolio
Build and maintain a prioritized innovation pipeline aligned to Asset performance goals, ensuring initiatives are value-led, scalable, and operationally adoptable.
Translate key asset challenges into digital/AI opportunities for production efficiency, deferment elimination, reliability enhancement, and subsurface interpretation acceleration.
Establish an innovation governance model covering intake, prioritization, stage-gates, value tracking, and scale decisions.
AI-Driven Production & Process Optimization
Drive AI and analytics use cases that improve production and reduce operating constraints, including production optimization and operating envelope improvement.
Enable reservoir surveillance and performance optimization.
Support well performance diagnostics such as gas lift optimization, water cut, sand risk, slugging, ESP performance, and injection optimization.
Drive process optimization for facilities including compression, separation, utilities, and energy optimization.
Lead solution development with internal and external experts from concept through deployment.
Deferment Reduction & Reliability Improvement
Establish a data-driven deferment improvement program focused on proactive identification of deferment drivers and recurrence prevention.
Deliver predictive and prescriptive solutions such as predictive maintenance for rotating and static equipment.
Implement event prediction (failures, trips, upsets) and mitigation playbooks.
Advance condition monitoring and reliability analytics to improve uptime.
Subsurface, Wells & Seismic Insight Acceleration
Improve subsurface decision quality and speed through AI-assisted seismic interpretation, reservoir modelling improvements, and integrated datasets.
Automate pattern detection for production anomalies and reservoir behaviour.
Support better well planning insight using integrated datasets across drilling, completions, and production.
Ensure strong integration between wells, subsurface, production engineering, and facilities teams.
Data Improvement (Surface & Subsurface)
Lead initiatives to improve asset data quality, usability, and timeliness.
Drive engineering, wells, and subsurface data standards improvement.
Improve asset data interoperability across historian platforms.
Champion fit-for-purpose data foundations enabling advanced analytics and AI at scale.