Senior AI Solution Director, Energy

Job not on LinkedIn

August 27

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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Sand Technologies

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Artificial Intelligence • Enterprise • SaaS

Sand Technologies is a global leader in using artificial intelligence and data to address complex problems faced by businesses, industries, and governments worldwide. With a mission to create sustainable solutions beyond the AI hype, Sand Technologies focuses on delivering real value for its customers by solving pressing challenges through innovative digital solutions. The company emphasizes its core values of courage, humility, adventure, initiative, and resilience to drive progress and inspire change. As a team of tech enthusiasts and professionals, Sand Technologies is committed to leveraging AI for good, aiming to make a meaningful difference globally.

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Accountable for successful delivery of Enterprise AI solutions within Energy (Oil & Gas) portfolio • Orchestrate multi-disciplinary teams (data scientists, data engineers, software engineers, product managers, designers) • Manage timelines, resources, budgets, and project quality • Support Industry Managing Director in growth of client accounts and pitch new AI propositions • Lead end-to-end delivery of AI programs and ensure adherence to quality, timeliness, and client value • Collaborate with MD and CPO to craft new AI propositions for Oil & Gas • Build trusted relationships with senior client stakeholders and act as strategic technical advisor • Partner with MD and BDDs for business development, scoping projects and developing proposals • Drive innovation, technical excellence, POCs, and product development • Work with internal teams on pricing strategies, scalable AI products, go-to-market, and marketing presentations

🎯 Requirements

• PhD in Petroleum Engineering or a related technical field. • A minimum of 10+ years of technical experience as a data scientist or in a relevant technical field with a strong understanding of software development, IT, and data engineering principles. • Proven leadership experience managing and scaling highly technical teams within the Energy (Oil & Gas) sector. • Demonstrated success in building and nurturing senior-level client relationships, with a track record of delivering AI projects that achieve tangible business outcomes. • Experience in dynamic, high-growth environments, including new ventures or scaling businesses, is highly advantageous