Geoscience Technologist Supervisor
industrial_energy_operations › Technologist · M1 — M1 — Manager (Team Lead) · Management
Leads a team of geoscience technologists in collecting and processing earth-science field and lab measurements.
Median pay · United States · annual
$85,619 USD
Typical range ()
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Track
Management
Family rungs priced
M1 · M2 · M3 · M4 · M5 · M6
—
Coordinates
2 / 4 spaces
pay@2 · 2026-07
What this role is
Leads a team of geoscience technologists in collecting and processing earth-science field and lab measurements. At the Manager (Team Lead) (M1) level, the role owns a single team, day-to-day delivery and people issues, and drives team output and health. Direct people management of one team.
What this level does
- Supervise a unit of geoscience technicians performing day-to-day field and laboratory equipment operation, ensuring on-the-job training brings junior staff to competency under experienced supervision
- Assign and check routine wireline and seismic interpretation tasks so deliverables meet time and quality standards within established practices
- Review technicians' oral and written reports of methods and findings before they go to scientists, engineers, and other technicians
- Track equipment readiness, sample handling, and site-preparation activities for the unit, escalating deviations to the next-level manager
- Knowledge applied
- Functional expert in geoscience data acquisition and interpretation with some leadership exposure; applies established field/lab and interpretation practices to a single unit.
- Complexity & problem solving
- Limited scope; resolves routine data-quality and scheduling issues using established practices and standard interpretation methods.
- Collaboration & interaction
- Daily interactions with technician staff and geoscience peers; relays methods and findings to scientists and engineers.
- Typical experience
- Seasoned technician/technologist (associate's degree or postsecondary applied-science training plus on-the-job experience) taking first-line supervisory responsibility.
Skills at this level
- Wireline and seismic interpretation
- — Directs delivery of high-quality geoscience interpretations of wireline and seismic data to time and standard, and sets the review bar for teams producing them.
- Geoscience workflow automation
- — Guides use of coding and analytical languages such as Python, SQL, and PostgreSQL to build and automate repeatable geoscience workflows and reduce manual interpretation effort.
- Digital twin contribution
- — Oversees interpretative geoscience contributions toward the digital twin, integrating well, outcrop, and seismic data into a shared subsurface model.
- Geoscience project leadership
- — Leads geoscience projects from conception through execution, ensuring alignment with organizational goals and compliance with regulatory standards.
- Peer review governance
- — Establishes and runs the in-house peer-review process for integrated and seismic-focused studies to safeguard interpretation quality across teams.
- Data and database management
- — Applies data-analytical skills and database knowledge to structure, quality-control, and serve subsurface data supporting interpretation and automation.
- Field and laboratory equipment operation
- — Supervises competent operation of field and laboratory instruments, ensuring technicians reach competency through structured on-the-job training.
- Cloud-native subsurface software strategy
- — Sets adoption and tooling strategy for cloud-native geoscience and subsurface software, including seat allocation and capability roadmaps.
- Technical communication
- — Ensures accurate oral and written reporting of methods and findings to scientists, engineers, managers, and other technicians.
- Team development and mentoring
- — Coaches, trains, and mentors geoscience technicians and technologists, building interpretation and automation competency across the team.
- Budget and resource management
- — Owns unit-to-organization geoscience budgets covering consumables, contractor hours, software seats, and staffing against delivery demand.
- Critical thinking in interpretation
- — Applies judgment when interpreting scientific data and determining relevance, and coaches teams to propose alternative solutions during site evaluation and preparation.
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As of · 2026-07-30
Edition · canon-v2@2.1.0-complete
Source · canon-v2 cell + salary-benchmark (model)
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