Overview
Skills
Job Details
Job Title: AI Portfolio Manager - Subsurface & Wells Digital Solutions
Location: Houston, TX
Duration: 12 Months
Job Description
We are seeking an experienced AI Portfolio Manager to lead a suite of AI and digital assistant initiatives designed to optimize subsurface and wells operations. This role drives the development and deployment of intelligent systems that enhance decision-making, automate technical workflows, and elevate performance across exploration and well delivery operations.
As a key member of customer s AI & Data Science team, you ll bridge domain expertise in subsurface and well engineering with emerging AI technologies. You will lead cross-functional teams to deliver tangible business outcomes through portfolio strategy, stakeholder alignment, and disciplined execution.
Key Responsibilities:
- Lead and manage a portfolio of AI and automation projects across subsurface, drilling, and wells domains.
- Define, prioritize, and track projects in alignment with business goals, resource availability, and data governance standards.
- Develop forecast models for project costs, ROI, and risk-adjusted performance benchmarks.
- Partner with geoscientists, drilling engineers, and production teams to identify workflows that benefit from AI augmentation.
- Collaborate with data scientists, ML engineers, and software developers to design, train, and deploy AI-based assistants and optimization tools.
- Translate complex technical requirements into actionable project charters, ensuring traceability from pilot to production.
- Establish metrics for AI adoption, accuracy, and operational impact; regularly report outcomes to leadership.
- Maintain compliance with internal controls, model governance, and regulatory standards.
- Mentor team members on AI literacy, value measurement, and data-driven decision-making frameworks.
- Champion the integration of AI tools in daily subsurface workflows, reinforcing change adoption and scaling successful pilots.
Qualifications:
- Bachelor s or Master s degree in Engineering, Data Science, Geoscience, or related technical field.
- 10+ years of combined experience in subsurface, wells, or digital transformation domains, including 4+ years in AI or data-driven project delivery.
- Proven experience managing multi-project portfolios with cross-disciplinary teams.
- Strong understanding of machine learning and automation principles applicable to engineering workflows.
- Working knowledge of data science platforms, ML model lifecycle management, and cloud-based application environments (AWS or Azure preferred).
- Excellent communication and leadership skills, with the ability to influence without direct authority.
- Experience executing projects under enterprise AI governance and value-realization frameworks.
Preferred:
- Background in developing or deploying AI models for drilling optimization, reservoir modeling, or predictive maintenance.
- Familiarity with digital twin technologies, agent-based modeling, or large language model (LLM) integration in engineering contexts.
- Understanding of change management in industrial digital transformation initiatives.
Keywords: AI Portfolio Manager, Digital Transformation, Subsurface, Wells, Drilling, Reservoir Engineering, Geoscience, Data Science, Machine Learning, Artificial Intelligence, AI Agents, Automation, Predictive Maintenance, Well Optimization, Reservoir Modeling, Digital Twin, AI Governance, Model Management, AWS, Azure, Cloud Computing, Data Engineering, AI Strategy, Portfolio Management, Energy, Oil and Gas, Upstream Operations, Analytics Transformation, Change Management, Houston
About VDart Group
VDart Group is a global leader in technology, product, and talent solutions, serving Fortune 500 clients in 13 countries. With over 4,000 professionals worldwide, we deliver innovation, operational excellence, and measurable outcomes across industries. Guided by our commitment to People, Purpose, and Planet, VDart is recognized with an EcoVadis Bronze Medal and as a UN Global Compact member, reflecting our dedication to sustainable practices.