Principal, Energy Consulting - Energy Data Management Consultant

EPAM Systems•Houston, TX

About The Position

The Energy Data Management Consultant provides domain expertise to oil and gas clients and helps shape data management strategy and roadmaps based on best practices and customer needs. The role covers data foundations and governance, the OSDU data platform, upstream exploration and production processes, data modeling and mapping, and connecting data management to business value, applications, analytics, and decisions. The consultant assesses clients’ current data ecosystems, including applications, platforms, data types and formats, flows, gaps, and pain points. Working with Solution Architects and project teams, the consultant supports tool and architecture selection and implementation, develops strategic roadmaps, and contributes to training and pre-sales activities. The role also involves staying current on energy data management and AI, building expertise in renewables and the energy transition, representing EPAM at industry events, and periodically traveling to client sites.

Requirements

At least 10 years of experience in upstream oil and gas in roles such as geoscience technician, engineering technician, data management professional, data management consulting, or data strategy consulting, with extensive direct work with E&P professionals and their data.
Experience facilitating cross-domain workshops and interviews, guiding teams empathetically toward consensus, and synthesizing and communicating information.
Enterprise data management experience with data such as wells, deviation surveys, logs, seismic, core, GIS, operations reports, reservoir models, and production volumes.
Experience with industry data standards such as PPDM, Energistics, PWLS, SEG, OSDU, ESRI/GIS, and IOGP.
Experience with master data management functions including matching, merging, creating gold records, reference data management, and data definitions management or 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 working within a Data Governance organization and/or establishing one with roles, responsibilities, and committees.
Experience designing data quality rules.
Business analysis experience mapping business processes and understanding, validating, and communicating business requirements, using tools such as Visio or Draw.io and frameworks such as BPMN.
Business and data analysis experience for E&P application integration, particularly mapping data between models.
Experience managing data—including loading, exporting, and data quality—in end-user geoscience and reservoir engineering applications such as Petrel, Geographix, Petra, Kingdom, Wellview, DecisionSpace, RokDoc, Geolog, Transform, Hampson-Russell, and Techlog.
Data analysis and/or data engineering experience using SQL, Python, or similar.
Experience delivering training and communicating on the activities listed above.

Nice To Haves

Bachelor’s and/or master’s degree in any field; especially preferred fields include Data Management, Geology, Geophysics, Reservoir Management, Petroleum Engineering, MIS, GIS, or Computer Science.
PPDM CPDA certification.
DAMA CDMP certification.
CompTIA+ Data topic certification.

Responsibilities

Provide oil and gas domain expertise in data management best practices, including master and reference data management, data quality, governance, metadata, document management, integration, and migration.
Advise clients on data management using the OSDU data platform, including data model principles, platform maturity, and available services.
Apply knowledge of upstream E&P business processes, including subsurface interpretation, well delivery, petrophysical and core analysis, geologic modeling, and reservoir simulation.
Support data modeling and mapping between data models and explain how data foundations support business value, applications, analytics, and business decisions.
Facilitate client meetings, workshops, and interviews; document and assess current-state data ecosystems, requirements, gaps, and pain points.
Work with Solution Architects and project teams on tool and architecture selection and implementation, ensuring industry data is handled at an appropriate level of detail.
Develop strategic data management roadmaps based on best practices and client needs.
Contribute to preparing and delivering data management training for internal and external audiences.
Stay current on energy data management topics, industry standards and software, data types and transmission and storage methods, governance practices, and AI capabilities and limitations.
Use GenAI tools alongside critical thinking to support job activities.
Build expertise in data-related concerns of renewables and the energy transition, including data types, sources, standards, challenges, and use cases.
Contribute an energy data strategy perspective to pre-sales efforts; present service offerings, help shape proposal scope and staffing plans, and lead discovery workshops.
Attend and present at industry conferences and events as an EPAM representative.
Periodically travel to client sites for workshops, interviews, and consulting work.