Senior Project Manager

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We are looking for a relentless problem solver, a master communicator, and a technical visionary.

This is not a role for a passive administrator. We are seeking a Senior Project Manager who possesses an advanced, non‑negotiable understanding of Data and AI. You will be walking into complex territory within the Energy and Mining sector, identifying inefficiencies in our physical operations, and architecting the data‑driven solutions that will define our future.

You are the bridge between "the way we’ve always done it" and "what is possible."

Who You Are (The DNA of our Ideal Candidate)

• You are a Self‑Starter: You don’t wait for a roadmap; you draw it. You identify gaps in the business strategy and pitch projects that close them.
• You are a Radical Problem Solver: When a project hits a wall, you don’t elevate—it innovates. You view constraints as creative challenges, not roadblocks.
• You are an "Out of the Box" Thinker: You understand that applying AI to heavy industry isn’t just about algorithms; it’s about reimagining workflows. You are comfortable challenging senior stakeholders and legacy processes.
• You are Technically Advanced: You don't just manage the timeline; you understand the architecture. You can distinguish between a viable AI model and hype.

Key Responsibilities
1. Elite Communication & Stakeholder Management

• Communication is Key:
  You possess the rare ability to simplify the complex. You must articulate the value of AI models to Mining Site Superintendents, verify technical constraints with Data Scientists, and present ROI strategies to the Global Director—all in the same day.
• Narrative Building:
  You don't just report status; you tell a compelling story about data transformation. You can convince skeptics to adopt new tools by clearly demonstrating how they make lives easier and operations safer.
• Global Alignment:
  As a direct report to the Global Director, you will facilitate communication across international teams, ensuring that regional engineering silos are broken down to favor a unified data strategy.

2. Strategic Ownership & Execution

• Own the Outcome:
  Take full accountability for high‑stakes Data & AI projects from vague concepts to fully operationalized solutions.
• Identify the "Unseen" Value:
  Proactively audit engineering workflows to find high‑impact opportunities for automation, predictive analytics, and machine learning that others have missed.
• Agile in a Waterfall World:
  Masterfully blend Agile speed with the rigorous safety and compliance standards required in the Energy and Mining sectors.

3. Technical & Cultural Translation

• Bridge the Gap:
  Act as the primary translator. You must be able to debate asset integrity with Civil/Mechanical Engineers and discuss data pipelines and hyperparameter tuning with ML Engineers.
• Challenge the Tech Stack:
  Don't just accept technical proposals. Use your advanced Data/AI knowledge to question the feasibility and practical application of models in the field.

Required Qualifications Experience

• 8-10 years of total professional experience.
• Must Have:
  Deep, hands‑on experience in delivering complex Data and AI solutions.
• Work experience related to Energy;
  Natural Resources is a benefit.
• Project management related work experience is beneficial.

Technical Knowledge

• Advanced understanding of Data Science and AI is a must. You must be fluent in the lifecycle of AI development (Data Ingestion > Modeling > Training > Deployment).
• Deep understanding of the IT/OT convergence (IoT, SCADA, Cloud Integration).
• PMP or project management background is beneficial.

Educational Background

• Hands‑on technical experience coupled with an Engineering degree is a significant benefit.
• Data/AI skill set is primary, the ability to apply it through the lens of a Chemical, Civil, Mechanical, or Mining Engineering background will set you apart.

Sector Knowledge

Experience in Energy, Mining, Oil & Gas, or Heavy Utilities is heavily preferred.

Seniority level

Mid-Senior level

Employment type

Full‑time

Job function

Information Technology, Project Management, and Strategy/Planning

Industries

IT System Data Services and Information Technology & Services

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