Career Opportunities: Director, Data, Analytics and AI (5195)

At Murphy Oil Corporation, we believe the rich experiences and backgrounds of our employees strengthen our Company, create a productive workforce, and drive our success. We encourage you to apply for the positions for which you meet the qualifications. Job Summary Murphy is committed to providing energy that empowers people and positively impacts lives. To further this commitment, we are seeking a Director of Data, Analytics and AI . This strategic leadership role leverages data, analytics, and AI to drive business value, foster a data-driven culture, and ensure effective governance and use of data assets and the broader data ecosystem across our global operations. The role bridges technology, business strategy, and operational execution—overseeing analytics and AI capabilities and the teams that enable data-driven decision-making, automation and AI across the organization. Your expertise in data science, automation, and AI will help build robust analytical systems, generate business insights, and optimize operations. Working with cross-functional teams and diverse datasets (drilling, production, subsurface, environmental, safety, and financial), you will lead the team responsible for business intelligence visualizations and applied analytics and AI tools that support transparent, timely decision-making. You will manage cross-functional projects, lead the adoption of new technologies, and serve as a primary liaison among IT, OT, and technical teams to ensure Murphy's data and AI strategies are communicated and implemented effectively. By building and developing Murphy's data science team and toolset, and maintaining a strong understanding of key business drivers, you will drive meaningful operational improvements across field operations and corporate processes. The Director of Data, Analytics and AI will report to the CTO in our Houston Corporate office and may work two (2) days a week remotely. Responsibilities Strategic and Technical Leadership Create and lead a clear enterprise data, analytics, and AI strategy aligned to business objectives, priorities, and operational outcomes, balancing quick wins with long ‑ term transformation Build a team and champion a data ‑ and AI ‑ driven culture by promoting literacy, curiosity, and insight ‑ informed decision ‑ making across the enterprise Partner with executive leadership and business units to identify high ‑ value use cases and translate business questions into scalable data, AI, analytics, and automation initiatives AI and Analytics Delivery Scale enterprise analytics and AI capabilities, including self ‑ service analytics, machine learning, generative AI, and agentic AI Oversee the development of dashboards, reports, predictive models, and AI applications supporting operational and strategic decisions Translate data into actionable insights, ensuring timely delivery to the right stakeholders with appropriate validation and monitoring Champion of data ethics and responsible AI, with a focus on transparency and trust AI Model Quality & Security Ensure AI ‑ ready capabilities and platforms supporting advanced analytics (e.g., graph analytics, NLP, prompt engineering, machine learning) Establish and enforce standards, delivery methods, and lifecycle practices across descriptive, diagnostic, predictive, and prescriptive analytics Govern ethical and responsible AI use, including: Model risk management (validation, monitoring, drift detection, retraining) GenAI controls (prompt/data leakage, evaluation, guardrails) Human ‑ in ‑ the ‑ loop decisioning and auditability for critical use cases Ensure compliance with data protection and AI regulations (e.g., GDPR, EU AI Act, CCPA) in partnership with Legal and Compliance Cost Management & Financial Discipline Establish cost management frameworks for AI workloads, including: Model selection and right ‑ sizing (avoiding over ‑ engineering) - Compute, training, and inference cost controls vendor and licensing rationalization Implement AI cost governance practices in partnership with Finance and IT, including budgeting, forecasting, and ongoing cost tracking Evaluate build vs. buy decisions with clear total cost of ownership (TCO) analysis. Standardize reusable AI components to reduce duplication and marginal cost of new use cases and continuously optimize deployed AI solutions to reduce operating cost while maintaining performance and reliability Ensure every AI initiative has defined cost targets, benefits, and accountability for realization Technical Leadership Build and lead high-performing teams including data engineers, data architects, data scientists, analysts, and data communicators Define clear roles, responsibilities, and career-development pathways; partner with HR on recruiting, training, and retention strategies for critical data talent Lead enterprise data ‑ driven innovation, including identifying new data sources and emerging technologies to develop analytics products that enable high ‑ value use cases, monetize data, and improve profitability Cross-Functional Leadership Proven ability to influence without authority and build coalitions across IT/OT, security, infrastructure, technical and business leaders such as Engineering, Subsurface, HSE, Regulatory, Finance, to simplify technical concepts, align data and analytics initiatives with business goals, define requirements, and drive cross ‑ functional adoption Experience managing multidisciplinary relationships and driving cultural change towards innovation and continuous improvement Collaborative and trusted partner with strong communication skills, connecting field, office, and enterprise stakeholders Automation & Efficiency Oversee enterprise automation initiatives and implement smart business process with robotic process automation (RPA) to improve operational efficiency. Use the Microsoft Power Platform (Power Apps and Power Automate) to streamline and automate processes across departments. Optimize end‑to‑end data‑to‑decision workflows to reduce friction and accelerate time to insight Evaluate and implement emerging technologies such as AI agents, vector databases, and automation frameworks Value Realization and Performance Measurement Define and track key performance indicators for data quality, platform adoption, decision velocity, and business impact Measure and report on ROI (Return on Investment) and ROE (Return on Employee) from analytics and AI investments, including revenue growth, cost savings, and efficiency gains Lead regular business reviews with stakeholders to assess progress against strategic and value ‑ delivery goal Qualifications/Requirements Bachelor's degree in Engineering, Computer Science, Data Science, MIS, IT, Mathematics/Statistics, or another technical field Minimum 15 years' experience across data management, analytics, and BI; 5+ years leading teams and complex data/AI initiatives Deep data engineering expertise: SQL and modern databases, Python/R, Snowflake/Databricks, ETL, data modeling, integration, governance, and quality Advanced analytics &

BI:

Power BI, analytics frameworks, data visualization, and storytelling Microsoft Power Platform & automation: Power Apps, Power Automate, RPA, and workflow optimization Cloud & modern data architectures, with awareness of regulatory and compliance requirements AI/ML fluency, including generative AI and agentic applications Proven, people-centered leader: team building, mentoring, hiring, budget/resource management, and change leadership Desired/ Preferred Qualifications Working knowledge of upstream oil & gas, across onshore and offshore operations Hands on experience with Relational Databases (SQL), non-relational databases & time-series data management (OSI

PI, SCADA

) Operational data expertise: SCADA, live data streaming, and industrial protocols (e.g., Modbus) Solid statistical foundation, including sound interpretation of analytical results (e.g., correlation vs. causation) The individual is required to follow all applicable safety precautions. Work is performed almost entirely in a controlled (i.e., inside) environment and does not typically subject the incumbent to any hazardous/extreme elements; some positions may require regularly moving or transporting items weighing up to 25 lbs. around the office for various needs. The successful candidate must be able to complete all essential physical requirements of the job with or without reasonable accommodation. #LI-Hybrid PURPOSE We believe in providing energy that empowers people. MISSION We challenge the norm, tap into our strong legacy and use our foresight and financial discipline to deliver inspired energy solutions. VISION We see a future where we are an industry leader who is positively impacting lives for the next 100 years and beyond.

VALUES & BEHAVIORS

Do Right Always Respect people, safety, environment and the law Follow through on commitments Make it better Think Beyond Possible Offer solution Step up and lead Don't settle for "good enough" Embrace new opportunities Stay With It Show resilience Lean into challenges Support each other Consider the implications _________________________________________________________________________________________________ Murphy Oil Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program. Please read the E-Verify Notice-English / E-Verify Notice-Spanish and Right to Work Notice before proceeding with your job application. For additional information, you may also visit the USCIS website . Murphy Oil Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, and status as a protected veteran, or any other category protected by federal, state or local laws. EEO is the Law Poster EEO is the Law Supplement