Pablo Anselmo Jimenez

Customer‑facing specialist working at the intersection of AI‑driven digital products, quality, and operational workflows in the energy industry. With an engineering background complemented by business training, I focus on turning advanced technologies—particularly generative AI—into reliable, production‑ready solutions that deliver measurable customer value. Originally from France, I chose to build my education and career abroad, shaping a profile grounded in engineering rigor and Scandinavian execution standards.

This path strengthened my autonomy, adaptability, and effectiveness in complex, multicultural environments. At SLB, I act as a bridge between customers, product, and engineering, taking ownership across discovery, onboarding, quality definition, release readiness, and adoption at scale. I am known for simplifying complexity and pushing solutions from “technically impressive” to operationally trusted, and I am now seeking roles with greater ownership and strategic influence, close to customers and product decisions.

Scope

Customer adoption, solution quality, and production readiness for generative‑AI solutions embedded in digital subsurface workflows for Tier‑1 operators.

Customer adoption, success & enablement

• Led onboarding and adoption of the Tela AI Assistant and multiple generative‑AI workflows, supporting customers from early pilots through full production deployment.
• Worked closely with Customer Success, Tech Sales, and Product teams to align AI capabilities with real customer workflows and business expectations.
• Drove adoption to 100+ early users by removing adoption barriers through targeted enablement, workshops, and customer‑driven improvements.

Platform onboarding & customer transformation

• Owned the onboarding and migration of Aker BP to the Delfi digital subsurface platform, acting as the primary interface between customer teams, product, and delivery.
• Designed standardized onboarding processes and reusable assets, reducing onboarding time by approximately 80%.
• Improved consistency, predictability, and customer confidence across large‑scale platform onboarding initiatives.

AI quality, reliability & release readiness

• Designed and implemented the generative‑AI quality and reliability framework used across multiple product lines.
• Defined and applied reliability criteria (accuracy, relevance, predictability) to support customer trust, adoption, and commercial readiness.
• Led customer‑facing UAT sessions and coordinated weekly AI releases, balancing rapid innovation with enterprise‑grade stability.

Executive, commercial & customer communication

• Delivered executive‑ and VP‑level demos focused on customer workflows, value realization, and business outcomes.
• Created demo and presentation assets reused globally by senior leadership, Tech Sales, and Customer Success teams.
• Presented adoption progress, AI performance, and customer feedback to 200+ stakeholders across product, engineering, and customer organizations.

MSc, New Energy & Business Management, Norwegian University of Science and Technology (NTNU), Norway

Master of Engineering - Petroleum/Geoscience Engineering National Superior School of Geology ENSG, Nancy, France