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Great opportunity to work at a Fortune 500 IT Consulting company as a Business Analyst , on a project for Ontario's largest energy company. This is a remote position that has a great chance of being extended long term.

Job Description:

Requirements for technical (integrity) SME to support providing strategic oversight of plan and facilitate workshops

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  Deep understanding of Integrity hazards with understanding of the subtle similarities and differences for enhanced classification (e.g. knowing the difference between failure due to crack vs failure due to stress corrosion cracking (SCC))

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  Ability to provide insights to incident hazard classification based on typical industry practices and standards (i.e. CSA Z662, ASME B31.8S, European standards) (e.g. provide insights on how the structure of the data model might need to look to align with various standards)

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  Understanding of the various Pipeline industry incident repositories that exists and ability to have future view to how we can set the MVP in a manner for future expansion with those additional repositories (e.g. investigate how decisions on the MVP may impact our ability to expand to other data sources)

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  Familiarity with the use of incident data to inform integrity decisions, assess emerging hazards, and build risk/reliability models (e.g. having an understanding of the overall use cases will allow the ability to fill in some of the blank where the requirements may not be fully specified – or know where the blanks are that need further thought)

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  Ability to draw on experience in these areas to predict challenges or roadblocks and set up the effective timing and workshop questions to address

Goals:

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  Build a repository of Industry and Enbridge incident data (compiled from BUs, PHMSA, CER, TSSA, CEPA, AGA, CGA repositories) leveraging machine learning models to bring consistency and further detail the threat categorizations and incident details

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  Bring together data repositories into one source with detailed information on the incident operators (e.g., detail on operating regions, asset types)

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  Will leverage the text fields associated with incidents and apply machine learning / text mining models to bring more detail and enhance Integrity modelling capabilities (e.g., failure mode, primary failure cause, impacts of failure, health and safety consequences, financial consequences).

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  Ability for integrity/risk engineers to “Correct” incorrectly classified incidents or fill in additional details that were not captured by the original models

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  This initiative embodies the “Data as an Asset” perspective and will allow for better risk and reliability assessment, enabling optimal allocation of company budgets to areas of highest need, improve safety and regulatory compliance, and help to lower risks associated with our operational assets.

Minimum 7-10 years’ experience in cloud projects.

Nice to have - oil and gas project experience,