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KoBold Metals

AI-driven mineral exploration for critical metals

Chief Project Planner

Project ManagementUpdated on Nov 12
Full-timeChililabombwe, ZambiaNo salary listed

About the Job

Requirements

  • Bachelor’s degree in Engineering, Construction Management, Project Management, or a related field.
  • Minimum 8–10 years of relevant project-planning experience on major capital projects.
  • Expert proficiency in Primavera P6 and scheduling best practices.
  • Strong knowledge of project management frameworks such as PMBOK and PRINCE2, and familiarity with earned value analysis.
  • Proven experience developing and managing detailed EPC schedules on projects exceeding $500 million.
  • Clear ethics record.
  • Ability to accommodate meetings with staff overseas and occasional travel.

Responsibilities

  • Lead development of integrated, resource-loaded master schedules in Primavera P6 from concept through commissioning and closeout, aligned to WBS/CBS standards.
  • Establish schedule governance, including coding structures, calendars, fragnets, interfaces, and data quality checks, for all workstreams and contractors.
  • Drive baseline development, including scope-freeze assumptions, logic, critical and near-critical paths, and milestones, and obtain formal approvals.
  • Build and maintain WBS/OBS/RBS structures and activity coding for multilevel reporting at program, project, area, system, and subsystem levels.
  • Perform logic integrity audits covering lags, open ends, constraints, and out-of-sequence work, and enforce schedule hygiene standards including DCMA 14-point compliance.
  • Implement resource and crew planning, leveling and stacking rules, and labor and equipment calendars consistent with field realities.
  • Conduct critical-path and driving-path analysis, track total and free float consumption, and conduct pathway-of-risk reviews.
  • Run trend analysis on SPI(t), schedule variance, progress curves, and productivity indices, and produce leading indicators and early-warning signals.
  • Build what-if simulations and scenario models for alternate execution sequences and resequencing around access, permits, weather, or logistics constraints.
  • Perform probabilistic schedule risk analysis, such as Monte Carlo analysis, to quantify P-dates, confidence levels, and criticality and sensitivity indices; propose mitigation and contingency plans.
  • Integrate with cost control to support Earned Value Management, reconcile schedule and cost performance (SPI/CPI), and explain variances.
  • Define progress-measurement rules of credit and automate performance tracking at work-package and system levels.
  • Generate rolling 2–6-week lookaheads, constraint logs, and readiness checks to support field execution.
  • Facilitate schedule risk reviews, maintain risk registers, and link mitigations to schedule activities with measurable impacts.
  • Manage change control, quantify time impacts, maintain fragnet libraries, and support claims or extensions-of-time narratives with forensic schedule analysis.
  • Lead recovery and resequencing plans when thresholds or KPIs are breached.
  • Integrate P6 with cost systems/ERP, document management, field progress apps, and, where applicable, 4D/BIM tools.
  • Establish data pipelines between P6 and BI tools, such as SQL, Power Query, and DAX, to automate reporting and analytics.
  • Coach project teams and junior planners, and codify playbooks, checklists, and reusable templates for the planning function.

Desired Qualifications

  • Advanced proficiency in Microsoft Excel and reporting tools such as Power BI, Tableau, or similar.
  • Experience with planning-software integrations, such as cost systems, ERP, or BIM tools.
  • Python experience.
  • Ability to work effectively in a fast-paced, multidisciplinary, and multicultural team environment.
  • Interest in contributing broadly to the success of the company and willingness to pitch in where needed.

About the Company

KoBold Metals

AI-driven mineral exploration for critical metals

KoBold Metals uses artificial intelligence to accelerate the discovery of lithium, cobalt, copper, and nickel deposits for clean energy. Its main product is an AI-driven mineral exploration program that combines a proprietary EOI tool with large-scale data about the Earth’s crust to decide which data to collect at each exploration step and reduce uncertainty. It stands out from traditional explorers through heavy data gathering, a multidisciplinary team, and a data-powered, repeatable scientific process. Its goal is to locate and sell mineral deposits to clean-energy companies, speeding the supply of critical minerals for batteries and renewable energy technologies.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Berkeley, CA
Founded
2018

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