Job Summary
- 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.
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/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 (gas lift optimization, water cut, sand risk, slugging, ESP performance, injection optimization).
- Drive process optimization for facilities (compression, separation, utilities, 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/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/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.
Innovation Execution, Scaling & Vendor/Partner Enablement:
- Deliver innovation via use-case definition, business case, MVP delivery, adoption, and scale-up.
- Track value and benefits realization with operational handover.
- Leverage ecosystem partners (OEMs, vendors, benchmarking communities, etc).
- Embed cybersecurity, data privacy, operational resilience, and regulatory compliance by design working with the IT Department.
Cross-Functional Enablement: Security & Logistics:
- Drive digital improvements in key enabling functions that impact asset performance.
- Security: predictive threat analysis, situational awareness, incident prevention, access control optimization.
- Logistics: planning optimization, route scheduling, fleet performance analytics, material availability improvement.
- Align innovations to asset uptime, safety, and cost targets.
Executive Engagement & Change Leadership:
- Build executive-level engagement with Asset and Corporate leadership.
- Lead stakeholder alignment and change adoption plans to ensure solutions deliver outcomes.
- Communicate performance impact, barriers, and value realization clearly.
Qualifications of the Representative
- Minimum 10+ years in upstream oil & gas operations, in asset leadership roles with mid-to-senior management exposure.
- Engineering or geoscience degree (Petroleum, Mechanical, Chemical, Electrical, Geology, etc.).
- MBA or relevant leadership qualification (advantage).
- Exposure to IOC/major operator practices and digital transformation frameworks.
- Familiarity with industry tools/platforms (e.g., OSIsoft/PI, SAP PM, Maximo, Petrel, Techlog, AVEVA, etc.) is beneficial.
- Demonstrated experience delivering tangible operational value / ROI through transformation programs.
- Strong knowledge of upstream and/or midstream business processes and constraints.
- Proven ability to lead cross-functional initiatives across technical, operational, and enabling functions.
Required Competencies
Technical & Business:
- Strong understanding of digital oilfield concepts and operational analytics.
- Experience with AI/advanced analytics use cases (predictive maintenance, event prediction, production optimization, reservoir surveillance).
- Strong problem-solving and business case development skills (value and ROI tracking).
- Working knowledge of asset data environments.
Leadership & Change:
- High executive presence – able to influence and drive decisions at leadership level.
- Strong stakeholder management, delivery leadership, and change enablement skills.
- Ability to translate between business, operations, and technology teams.
- Results-driven mindset with clear accountability for delivery and benefits realization.
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