Senior Manager, Geoscience Technology Operations
industrial_energy_operations › Technologist · M4 — M4 — Director · Management
Senior manager overseeing multiple teams of earth-science technologists who collect and analyze geological, geophysical, and resource data.
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4 of 8
Track
Management
Family rungs priced
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Coordinates
2 / 4 spaces
pay@2 · 2026-07
What this role is
Senior manager overseeing multiple teams of earth-science technologists who collect and analyze geological, geophysical, and resource data. At the Director (M4) level, the role owns a function or department, strategic priorities and cross-functional alignment, and drives function-level results. Leads managers; sets direction for the function.
What this level does
- Manage multiple geoscience technologist sections or a critical interpretation function, where delivery failures could jeopardize exploration or resource-development activities
- Set strategic policies for interpretation standards, data governance, and automation adoption aligned to broader business objectives
- Engage senior leaders and integrated project teams on geoscience functional strategy, coverage, and resourcing trade-offs
- Oversee the in-house peer-review process for integrated and seismic-focused studies to protect interpretation quality across teams
- Own consolidated departmental budgets and capability roadmaps for cloud-native subsurface software and workflow tooling
- Knowledge applied
- Sets strategic policies for interpretation, data governance, and automation across multiple sections aligned to business objectives.
- Complexity & problem solving
- Handles strategic problems where interpretation failures could jeopardize exploration or resource-development activities.
- Collaboration & interaction
- Engages senior leaders and integrated project teams on geoscience functional strategy and resourcing.
- Typical experience
- 8–10+ years with complex team/organization leadership in geoscience delivery.
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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Source · canon-v2 cell + salary-benchmark (model)
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