Position Details
About this role
Marathon Oil seeks an IT Manager of Data Science & AI to lead and scale a team delivering advanced machine learning, deep learning, and generative/agentic AI solutions. The role owns end-to-end AI/ML lifecycle delivery and ensures enterprise standards for security, governance, ethics, and responsible AI while leading people and projects.
Key Responsibilities
- Manage daily team operations and people leadership (recruitment, retention, performance)
- Define and execute AI and data science roadmap aligned to enterprise priorities
- Oversee design, training, validation, and operationalization of machine learning, deep learning, and generative/agentic AI models
- Ensure AI solutions meet security, governance, ethics, and responsible AI standards
- Plan and lead AI/data science IT projects within time, budget, and quality targets
Technical Overview
The technical scope centers on operationalizing AI/ML initiatives, including model design, training, validation, deployment, and ongoing operational support. The manager must enforce data governance, ethics, and responsible AI frameworks while standardizing workflows and reusable code libraries for enterprise scalability.
Ideal Candidate
The ideal candidate is a senior IT/data science leader who can manage AI/ML initiatives end-to-end, from strategy and model design through training, validation, deployment, and operational support. They bring strong people leadership experience and ensure enterprise-grade security, governance, ethics, and responsible AI practices while scaling advanced machine learning, deep learning, and generative/agentic AI solutions.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have experience managing the full lifecycle of AI/ML initiatives (strategy through deployment and operational support), Must ensure adherence to enterprise standards for security, governance, ethics, and responsible AI, Must have people leadership experience (recruitment, performance management)
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