M3
jf_technologist::M3
Geoscience Technologist Manager
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Geoscience Technologist Manager

industrial_energy_operationsTechnologist · M3 — M3 — Senior Manager · Management

Manages a team of earth-science technologists responsible for collecting and analyzing geological, geophysical, and geochemical field data.

Median pay · United States · annual

$120,351 USD

+40.6% vs M1 on this ladder

Typical range ()

$88,405$163,840

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Key statistics

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Track

Management

Coordinates

2 / 4 spaces

pay@2 · 2026-07

What this role is

Manages a team of earth-science technologists responsible for collecting and analyzing geological, geophysical, and geochemical field data. At the Senior Manager (M3) level, the role owns multiple teams or a sub-function, multi-team execution and resourcing trade-offs, and drives sub-function outcomes. Manages managers and/or several teams.

What this level does

  • Manage the geoscience technologist department, responsible for operations and budget across interpretation, automation, and field/lab data teams
  • Evaluate diverse issues and emerging trends in subsurface data quality and workflow automation to set departmental methods and standards
  • Direct the automation and expediting of workflows, including contributions to the digital twin, allocating staff across well, outcrop, and seismic interpretation demands
  • Ensure geoscience projects run from conception through execution in alignment with organizational goals and regulatory/compliance standards
  • Lead functional or cross-project teams and serve as the customer/stakeholder contact for interpretation deliverables and timelines
Knowledge applied
Manages a geoscience department, applying trend evaluation across data quality and automation to set standards and run operations and budgets.
Complexity & problem solving
Addresses diverse issues; evaluates emerging trends in subsurface data and automation to define departmental methods.
Collaboration & interaction
Leads functional or customer-facing teams; primary contact for interpretation deliverables, timelines, and compliance.
Typical experience
5–7+ years managing professionals and departmental budgets.

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

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