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Principal, Energy Consulting - Energy Data Management Consultant

Hybrid in United States of America: Houston
Business Consulting
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Join our dynamic team as an Energy Data Management Consultant and play a pivotal role in shaping our strategic roadmap based on data management best practices and customer needs. This role offers an exciting opportunity to contribute to pre-sales efforts, deliver training on data management topics, and stay updated on OSDU developments and energy data management trends. You'll also have the chance to represent the company at industry conferences and events.

If you're passionate about building expertise in data-related concerns of renewables and energy transition, we'd love to hear from you.

Req.#1132920237

Responsibilities
  • Provide domain expertise to oil and gas clients in:
  • Data Management best practices to lay good data foundations (e.g. master data management, reference data management, data quality, data governance, metadata management, document management, data integration, data migration)
  • Data Management using the OSDU™ data platform (e.g., data model principles, platform maturity, services available and their purpose)
  • In the case of Upstream Oil and Gas: E&P business processes like subsurface interpretation, well delivery (planning, drilling, completing, producing), petrophysical analysis, core analysis, geologic modeling, reservoir simulation, etc.
  • Data modeling and data mapping between various data models
  • Tying the value of data management/data foundations to business value, applications, analytics, and business decisions
  • Display excellent communication skills; Approach internal and external clients with consultative, empathetic, attitude; Facilitate meetings and workshops; Communicate with a variety of communication styles, delivering difficult messages diplomatically and successfully
  • Display excellent problem-solving skills; Approach problems proactively, with both a big picture mindset and a high level of attention to detail, including taking detailed notes in critical meetings; Use expertise to define problems to solve and propose viable solutions
  • Discover, document, and assess a client’s current state data ecosystem, considering applications, data platforms, data types, data formats, data flows, gaps, and pain points
  • Work closely with Solution Architects and project teams to help in tool and architecture selection and implementation (e.g., medallion architecture), making sure industry data is handled with appropriate detail to meet business needs
  • Develop a strategic roadmap, based on data management best practices combined with customer needs and pain-points
  • Contribute to training preparation and delivery on data management topics, for both external and internal audiences
  • Remain current on Energy data management topics including common issues, new data types, best practices, data standards, industry software offerings, methods of data transmission, methods of data storage/shapes of data, data governance best practices
  • Remain current on the state of A.I. usage, and strengths and weaknesses, especially as it relates to data management topics
  • Use GenAI tools combined with your own critical thinking, to assist in all job roles
  • Build expertise in data-related concerns of renewables and energy transition, including data types, sources, standards, challenges, and relevant use cases
  • Actively contribute the energy data strategy perspective to pre-sales efforts for existing and potential clients, including articulation of data management and related service offerings; present to potential clients and help to shape and communicate staffing plans and scope for proposals; lead discovery workshops to gather requirements for proposals
  • Periodically attend and present at industry conferences and events, representing EPAM
  • Periodically travel to client sites for workshops, interviews, and other consulting work
Requirements
  • Minimum 10 years in upstream oil and gas, in roles and activities including the following:
  • Geoscience Technician, Engineering Technician, Data Management Professional, Data Management Consulting, Data Strategy Consulting, having worked directly and extensively with E&P professionals and their data
  • Facilitating cross-domain workshops and interviews, empathetically guiding teams to consensus on contentious points and effectively synthesizing and communicating the information received
  • Enterprise data management experience covering data types such as wells, deviation surveys, logs, seismic, core, GIS data types, operations reports, reservoir models, and production volumes
  • Experience with industry data standards such as those of PPDM, Energistics, PWLS, SEG, OSDU, ESRI/GIS, and IOGP
  • Master Data Management functions such as matching, merging, creating gold records, reference data management, and data definitions management/governance
  • Hands-on experience with data platforms and applications such as IHSM/S&P/Opus EDM, Landmark CDS, Quorum TDM, Informatica MDM, Openworks, OSDU, PPDM, Snowflake, and Databricks
  • Experience within Data Governance organization and/or setting up a Data Governance organization with roles, responsibilities, and committees
  • Data Quality rule design
  • Business Analysis for business process mapping (to understand, validate, and communicate business requirements) using tools like Visio, Draw.io, etc. using frameworks like BPMN
  • Business and Data Analysis for E&P application integration, particularly data mapping between data models
  • Experience with Data Management (loading, exporting, data quality) in end-user GG & RE applications such as Petrel, Geographix, Petra, Kingdom, Wellview, DecisionSpace, RokDoc, Geolog, Transform, Hampson-Russell, Techlog, etc.
  • Data analysis and/or data engineering using SQL, Python, or similar
  • Training and communication on the activities above
  • Preferred: Bachelors and/or Masters degree in any field
  • Especially preferred: fields of Data Management, Geology, Geophysics, Reservoir Management, Petroleum Engineering, MIS, GIS, or Computer Science
Nice to have
  • Certifications: PPDM™ CPDA™
  • Certifications: DAMA™ CDMP™
  • Certifications: CompTIA+ Data topic