Career Opportunities: Director, Data, Analytics and AI (5195)
Requisition ID 5195 - Posted 05/19/2026 - United States - Texas - Houston - IT
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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 Leadership
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
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
Technical Leadership
Foster a culture of innovation, collaboration, and continuous learning within the data, analytics and AI organization
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
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 goals
Qualifications/Requirements
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.
Desired/ Preferred Qualifications
#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
Think Beyond Possible
Stay With It
_____
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
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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 Leadership
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
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
Technical Leadership
Foster a culture of innovation, collaboration, and continuous learning within the data, analytics and AI organization
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
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 goals
Qualifications/Requirements
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.
Desired/ Preferred Qualifications
#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
Think Beyond Possible
Stay With It
_____
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