Subject Matter Expert

To be successful in this position, we expect you to leverage your P&O domain expertise combined with Industrial DataOps technology (that will become an expert in) to:

• Be a trusted advisor for our customers, prospects and delivery teams, with the ability to drive and guide, define and develop the right solutions/use cases aligned with the Production and Optimization domain and customer needs
• Build and maintain strong relationships with key stakeholders, ensuring customer satisfaction throughout project delivery and beyond
• Leverage in-depth technical SME knowledge to quickly identify customer's pain points and the value based on the interactions with the customer to guide short and long-term value outtakes


Ensure a good feedback cycle to:
• Translate the customer voice into the project scope and its execution
• Ensure customer feedback on Cognite’s product and deliverables
• Demonstrate how Cognite Data Fusion and  Cognite Applications can be used to solve the critical challenges that lead to realizable value at scale now and in the future and increased user adoption and Cognite technology stickiness
• Create a demo story, visualisation and supporting material for customer implementation projects
• Provide on-site technical support to clients and partners  
• Coach and mentor technical teams, esp. data scientists, in their everyday work to ensure the technical and business value of the deliveries
• Collaborate with Sales, Tech Sales, Product, and Partners to stay up to date on the latest strategy, and capabilities, provide customer feedback and contribute to the development of repeatable and scalable solutions and products agnostic to customer or industry, as far as possible.

We believe most of these should match your experience

• A minimum of Bachelor's degree in a relevant technical field (e.g., Petroleum engineering, Chemical Engineering etc.)
• A minimum of 5+ years of full-time work experience in production engineering
• Providing solutions to optimize the production with respect to near well-bore, completion and pipelines/network aspects
• Design and troubleshoot artificial lift systems including ESPs, Gas-lift systems and sucker rod pumps
• Using multiphase flow simulators such as Prosper, Gap and Pipesim
• Analyzing reservoir and production data to discover opportunities to increase the production and reserves of a field
• Analyzing wells performance and developing workover operations to enhance production
• Conducting flow assurance studies on a field level to eliminate issues such as corrosion, scale, wax, hydrates, and slugs
• Understand the challenge of technical solutions for production data management systems and passionate about making a change with data-driven production optimisation
• Be familiar with relevant technology, such as Big Data, Business Intelligence, and Machine Learning
• Experience with Python is a plus
• Excellent presentation and coaching and proactive communication skills
• Ability to talk to different levels of customer organization: data engineers to C-level executives
• Self-motivated with a results-oriented mindset
• Ability to work independently and as part of a collaborative team
• Proficiency in English is a requirement


Don’t meet every single requirement? We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.