IT Manager, Data Science & AI

Marathon Petroleum • Findlay, OH

97d

About The Position

We are seeking an experienced and forward-thinking IT Manager of Data Science & AI to lead our growing team of data science professionals. This role will lead a high-performing team responsible for delivering advanced machine learning, deep learning and generative AI solutions, including emerging agentic AI capabilities, that drive measurable business impact across the enterprise. This leader will play a critical role in shaping, executing, and scaling our enterprise AI and advanced analytics strategy. The IT Manager will oversee daily team operations, foster a culture of innovation and continuous improvement, and ensure delivery of impactful AI and data science solutions that align with enterprise priorities. This role is accountable for managing the full lifecycle of AI/ML initiatives—from strategy development to model design, training, validation, deployment, and operational support. The manager will also ensure that all solutions adhere to enterprise standards for security, governance, ethics, and responsible AI. In addition to technical leadership, the IT Manager will be a strong people leader—responsible for recruitment, development, retention, and performance management of top-tier talent. They will collaborate closely with business units, IT, and analytics teams to identify opportunities, deliver scalable solutions, and maximize business value. This position requires a balance of technical expertise, strategic vision, and operational excellence, combined with the ability to influence stakeholders across the enterprise and guide the organization through the evolving landscape of AI and advanced analytics.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Engineering, Business, or other computer-related degree required.
• 10+ years of diversified IT experience required.
• 3+ years of experience leading professional staff required.

Nice To Haves

• Master's Degree in Data Science or Ph.D. in a relevant field, especially with a focus on machine learning or AI is preferred.

Responsibilities

• Manages daily operations of the team, providing guidance, mentorship, and driving a culture of innovation and continuous improvement.
• Oversees recruitment, development, retention, and performance to build strong talent.
• Plans and leads low- to medium-complexity IT projects, ensuring they are delivered on time, within budget, and to quality standards.
• Ensures the availability, reliability, and security of technology systems.
• Collaborates with key stakeholders and internal groups to identify needs, deliver effective solutions, and support business objectives.
• Define and execute the vision, strategy, and roadmap for AI and data science initiatives aligned to enterprise priorities.
• Oversee the design, training, validation, and operationalization of advance machine learning, deep learning and generative and agentic AI models.
• Ensure AI solutions adhere to enterprise data governance, ethics, and responsible AI frameworks.
• Develop internal best practices, reusable code libraries, and standardized workflows for AI/ML projects.
• Collaborate with business units, IT, and analytics teams to identify AI use cases and deliver measurable business impact.
• Ensure AI solutions are designed to scale across business units and integrate seamlessly within the enterprise technology infrastructure.
• Monitor emerging AI/ML technologies, tools, and frameworks to maintain a competitive advantage and guide investment decisions.
• Establish processes for ongoing monitoring, retraining, and optimization of deployed models to ensure accuracy and reliability.

Benefits

• Access to health, vision, and dental insurance
• Paid time off
• 401k matching program
• Paid parental leave
• Educational reimbursement
• Discretionary company-sponsored annual bonus program

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Petroleum and Coal Products Manufacturing
• Education Level: Bachelor's degree