Decision Intelligence Director

An exciting career awaits you

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At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.

Position Summary

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Leads Marathon’s enterprise Decision Intelligence capability across Business Intelligence, Machine Learning, and Artificial Intelligence, including Generative AI, AI agents, and Agentic Systems. Sets the strategy and operating model that connect trusted data, analytics, enterprise knowledge, and AI to improve the quality and speed of business decisions. Provides leadership for the BI and Machine Learning functions through their respective managers and directly owns the vision, framework, platform strategy, and implementation model for enterprise AI, agents, and agentic AI. Partners across business, architecture, engineering, governance, cybersecurity, platform operations, and Digital Product Delivery to establish reusable enterprise capabilities, enable federated delivery, and move high-value solutions from experimentation to governed, scalable operations. Leads managers and individual contributors while building talent, delivery discipline, and measurable business value.

Key Responsibilities

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·       Leads managers and individual contributors through guidance, coaching, and support to ensure assignments align with organizational goals and established policies. Drives recruitment, development, retention, performance management, and succession planning to build a strong talent pipeline.

·       Collaborates with key stakeholders and senior management to provide strategic guidance on technology risks, opportunities, and prioritization, ensuring cost-effective and agile solutions.

·       Oversees the planning, design, implementation, and measurement of IT systems, balancing agility with stability, security, and efficiency.

·       Defines and executes the enterprise Decision Intelligence strategy and roadmap across Business Intelligence, Machine Learning, Generative AI, AI agents, and agentic systems, aligned to Marathon’s business priorities and measurable value outcomes.

·       Provides executive leadership for the Business Intelligence function, including enterprise reporting, dashboards, self-service analytics, trusted semantic models, reusable KPI definitions, adoption, and governance alignment.

·       Provides executive leadership for the Machine Learning function, including advanced analytics, predictive and optimization models, computer vision, model lifecycle management, MLOps integration, production monitoring, and value realization.

·       Directly owns the vision and implementation of Marathon’s enterprise AI capability, including the AI framework, platform strategy, reference architectures, reusable services, engineering patterns, evaluation standards, AgentOps practices, and operating model.

·       Establishes the strategy for enterprise agents and agentic AI, including agent discovery and registration, identity, approved tools and interfaces, orchestration, human approval, evaluation, observability, lifecycle management, and safe escalation or stopping controls.

·       Advances the Marathon Enterprise Knowledge System by connecting governed data products, semantic models, metadata, business context, ontology and knowledge graphs, documents, skills, tools, and prior decisions into reusable context for analytics and AI.

·       Defines clear placement and integration patterns for application-native agents, data- and AI-intensive agents, and cross-system enterprise agents while preserving authoritative systems, business ownership, and enter...

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