Job description
The role involves a combination of technical, analytical, and project management responsibilities to drive innovation and efficiency in upstream oil and gas operations and modeling workflows, including carbon capture and sequestration applications.
- Scope and execute Data Modernization projects for Reservoir Management data through collaboration and integration with key Business Units, Data and IT experts, and Senior Technical Professionals
- Establish business case and work plans and manage scope, budget, schedule and quality to ensure timely and effective project delivery and anticipate and manage project issues in a proactive manner
- Serve as the voice of the customer / end user when engaging functional experts on best practices, data definitions/architecture, and data governance
- Support external engagements related to EM participation in industry-wide efforts
- Provide periodic updates to senior management and cross-functional teams via multiple forms of communication
- Engage broader Reservoir Management community to educate and identify/enable scale-out opportunities associated with Data Modernization projects
Skills and Qualifications
- Bachelors or Masters degree from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disciplines with minimum GPA 7.0. However, we prefer Bachelors in petroleum and Masters/certification in data management/fundamentals.
- Minimum 2 years of experience in data management roles with experience in reservoir engineering workflows. Understanding of general reservoir engineering data types, workflows / applications is must. We prefer an experienced reservoir engineer with strong hands-on data management experience.
- Proven experience in processing, transforming and optimizing large datasets or leading enterprise scale data modernization projects.
- Previous experience working in agile or scrum environments for project management with multi-disciplinary teams like data engineers, data architects, application architects, developers, and SMEs.
- Strong fundamental understanding/experiences in Data Warehousing, Database Management, ETL processes, Data Pipelines, Cloud Platforms and data best practices.
- Proven project management experience with strong leadership skills
- Prior experience with OSDU data projects will be preferred.
- Able to innovate current data flows, design new solutions for subsurface data integration, streamline current processes and enable institutionalizing and operationalizing of new data workflows.
Preferred Qualifications / Experience
- Strong analytical skills with reasonable understanding of reservoir engineering worklfows, data types and applications.
- Data Engineering experience / Understanding of data taxonomy (master data, reference data etc), data modeling, data cataloguing, data liberation, data ETL pipelines etc.
- Familiarity with cloud platforms and BI tools
- Any prior enterprise scale data efforts (workflow automation through data modernization) will be preferred
- Self-motivated and proactively shows initiative
- Ability to manage multiple priorities and work under pressure
- Good team player with ability to interface and coordinate/work with diverse groups
- Ability to recognize and resolve conflict
