Pipeline Integrity / In-line Inspection Analyst

Kinder Morgan · Houston

Apply on the company website

Support the execution, continuous improvement, and technical development of the Kinder Morgan Assessment Protocol (KMAP) for identifying, classifying, and assessing seam-related crack-like anomalies, mechanical damage, and other potentially injurious indications identified in In-Line Inspection (ILI) data.

This position serves as a subject matter expert in ILI signal interpretation, anomaly characterization, and technical assessment. The analyst reviews ILI signal data, applies established classification methodologies, incorporates historical and field validation information, and develops technically defensible anomaly classifications and recommendations to support integrity management decisions.

The position collaborates with Pipeline Integrity Engineers and Analysts, ILI service providers, NDE specialists, and field personnel to improve anomaly classification accuracy and advance KMAP assessment methodologies through validation feedback, lessons learned, and industry best practices.

General Responsibilities

• Perform detailed review of ILI signal data and supporting inspection information to identify, evaluate, and classify ILI indications in accordance with KMAP procedures and assessment methodologies.
• Develop and maintain clear, complete, and technically defensible documentation of signal reviews, supporting evidence, assessment conclusions, and recommendations to support integrity management decisions.
• Review historical ILI data, prior assessments, pipeline information, and previous validation results to support anomaly characterization, including run-to-run signal comparisons and anomaly correlation, as applicable.
• Evaluate KMAP assessment outcomes and validation results to identify classification trends, lessons learned, and opportunities to improve KMAP procedures, criteria, methodologies, and overall program effectiveness.
• Identify and communicate emerging signal patterns or potentially systemic integrity concerns that may warrant additional technical evaluation or integrity action.
• Perform corrosion growth analyses, anomaly growth evaluations, data trending, and other technical analyses, as applicable.
• Collaborate in technical peer reviews to promote the accuracy, consistency, and quality of KMAP assessments.
• Support the development and continuous improvement of KMAP procedures, work instructions, decision criteria, technical guidance, and supporting documentation.
• Communicate KMAP conclusions and recommendations through technical reports, assessment summaries, presentations, and other appropriate formats for technical and non-technical stakeholders.
• Collaborate with Pipeline Integrity Engineers and Analysts, ILI service providers, NDE specialists, field personnel, and other subject matter experts to resolve complex anomaly classifications and support excavation selection and validation activities.
• Support technical training and knowledge-sharing activities related to ILI signal interpretation, anomaly classification, field validation, and KMAP assessment methodologies.
• Perform other related duties as assigned.

Job Requirements

• Ability and willingness to perform the essential duties and responsibilities of the position.
• Demonstrated ability to review, analyze, and interpret ILI data and associated signal responses.
• Communicate clearly, concisely, and professionally with technical and non-technical stakeholders, tailoring information to the audience’s role, knowledge, and needs.
• Demonstrate accountability, initiative, and a results-oriented approach in support of group and company objectives.
• Proactively identify process, procedure, and system improvement opportunities and contribute to near-term and long-term initiatives that enhance regulatory compliance, program effectiveness, and operational efficiency.
• Exercise sound technical judgment when evaluating incomplete, uncertain, or conflicting information.
• Ensure individual and team deliverables are accurate, timely, and completed in accordance with applicable regulations, standards, policies, procedures, assessment criteria, and quality requirements.
• Participate constructively in technical peer reviews, consider alternative interpretations, and appropriately address review comments.
• Organize and prioritize multiple assignments based on their relative importance and adapt to changing circumstances, priorities, and deadlines.
• Collaborate effectively with management, peers, and other stakeholders; remain receptive to alternative perspectives and constructive feedback; and implement appropriate improvements.
• Strong computer skills including but not limited to demonstrated proficiency with Microsoft Word, Excel, Outlook, and PowerPoint.
• Strong focus on safe work practices and active participation in the safety program.
• Maintain a regular, dependable attendance and high level of performance.
• Must possess and maintain a valid driver’s license and driving record satisfactory to the company and its insurers.

Educational Requirements

• Bachelor’s degree in Engineering, Science, Mathematics, Data Analytics, Computer Science, or a related technical discipline. Applicable industry experience and education may be considered as an equivalent.

Work Conditions

• Primarily office-based, with extended periods of focused computer work required to review large or complex ILI datasets independently and accurately.
• Occasional travel to excavation sites, service provider facilities, or other company locations may be required for validation activities, technical reviews, or training.
• Occasional work outside normal business hours may be required to support time-sensitive integrity assessments or project deadlines.

Preferred Experience, Skills, and Knowledge

• Five or more years of experience reviewing and interpreting ILI signal data to identify and classify anomalies (preferred).
• Experience reviewing and interpreting ILI signal data to identify and classify anomalies, evaluate service provider classifications, and assess the technical basis for reported pipeline integrity threats.
• ILI Personnel Qualification (ILI-PQ) Level II ( preferred).
• Knowledge of pipeline integrity threats and the capabilities, limitations, performance specifications, and uncertainties associated with the ILI and NDE technologies used to identify and characterize those threats.
• Experience performing run-to-run comparisons, signal matching, anomaly correlation, corrosion growth analysis, or other anomaly growth evaluations (preferred).
• Familiarity with applicable PHMSA pipeline safety and integrity management requirements under 49 CFR Parts 192 and 195.
• Working knowledge of API Standard 1163 and ILI performance validation principles.
• Proficiency with Microsoft Excel and other tools used to organize, analyze, and present technical data.
• Strong technical writing skills and the ability to clearly document complex technical evidence, assumptions, uncertainties, conclusions, and recommendations.
• High attention to detail and the ability to identify subtle patterns, inconsistencies, or anomalous responses within large datasets.
• Ability to communicate complex technical information effectively to technical and non-technical stakeholders.

Kinder Morgan is a large energy infrastructure company operating in North America. Access to reliable, affordable energy is a critical component for improving lives around the world. We are committed to providing energy transportation and storage services in a safe, efficient, and environmentally responsible manner for the benefit of the people, communities, and businesses we serve.

Kinder Morgan provides equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, pregnancy, childbirth and related medical conditions, gender (including gender identity and expression), sexual orientation, national origin, ancestry, citizenship status, age, physical or mental disability, genetic information, marital status, military or veteran status, family status, status as an individual authorized to work in the U.S., or any other status protected by law.

For more information about Kinder Morgan, our culture, opportunities available, and to join our Talent Community, please visit our careers site at www.kindermorgan.com.

Job Requirements

• Ability and willingness to perform the essential duties and responsibilities of the position.
• Demonstrated ability to review, analyze, and interpret ILI data and associated signal responses.
• Communicate clearly, concisely, and professionally with technical and non-technical stakeholders, tailoring information to the audience’s role, knowledge, and needs.
• Demonstrate accountability, initiative, and a results-oriented approach in support of group and company objectives.
• Proactively identify process, procedure, and system improvement opportunities and contribute to near-term and long-term initiatives that enhance regulatory compliance, program effectiveness, and operational efficiency.
• Exercise sound technical judgment when evaluating incomplete, uncertain, or conflicting information.
• Ensure individual and team deliverables are accurate, timely, and completed in accordance with applicable regulations, standards, policies, procedures, assessment criteria, and quality requirements.
• Participate constructively in technical peer reviews, consider alternative interpretations, and appropriately address review comments.
• Organize and prioritize multiple assignments based on their relative importance and adapt to changing circumstances, priorities, and deadlines.
• Collaborate effectively with management, peers, and other stakeholders; remain receptive to alternative perspectives and constructive feedback; and implement appropriate improvements.
• Strong computer skills including but not limited to demonstrated proficiency with Microsoft Word, Excel, Outlook, and PowerPoint.
• Strong focus on safe work practices and active participation in the safety program.
• Maintain a regular, dependable attendance and high level of performance.
• Must possess and maintain a valid driver’s license and driving record satisfactory to the company and its insurers.

Educational Requirements

• Bachelor’s degree in Engineering, Science, Mathematics, Data Analytics, Computer Science, or a related technical discipline. Applicable industry experience and education may be considered as an equivalent.

Work Conditions

• Primarily office-based, with extended periods of focused computer work required to review large or complex ILI datasets independently and accurately.
• Occasional travel to excavation sites, service provider facilities, or other company locations may be required for validation activities, technical reviews, or training.
• Occasional work outside normal business hours may be required to support time-sensitive integrity assessments or project deadlines.

Preferred Experience, Skills, and Knowledge

• Five or more years of experience reviewing and interpreting ILI signal data to identify and classify anomalies (preferred).
• Experience reviewing and interpreting ILI signal data to identify and classify anomalies, evaluate service provider classifications, and assess the technical basis for reported pipeline integrity threats.
• ILI Personnel Qualification (ILI-PQ) Level II ( preferred).
• Knowledge of pipeline integrity threats and the capabilities, limitations, performance specifications, and uncertainties associated with the ILI and NDE technologies used to identify and characterize those threats.
• Experience performing run-to-run comparisons, signal matching, anomaly correlation, corrosion growth analysis, or other anomaly growth evaluations (preferred).
• Familiarity with applicable PHMSA pipeline safety and integrity management requirements under 49 CFR Parts 192 and 195.
• Working knowledge of API Standard 1163 and ILI performance validation principles.
• Proficiency with Microsoft Excel and other tools used to organize, analyze, and present technical data.
• Strong technical writing skills and the ability to clearly document complex technical evidence, assumptions, uncertainties, conclusions, and recommendations.
• High attention to detail and the ability to identify subtle patterns, inconsistencies, or anomalous responses within large datasets.
• Ability to communicate complex technical information effectively to technical and non-technical stakeholders.

More jobs at Kinder Morgan · Other jobs in Houston