Director, Data, Analytics and AI

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

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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.

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