Sr L48 Data Enablement Analyst

Socket.dev; Houston (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health & wellness benefits

Career development

Job summary

ConocoPhillips is seeking a Sr L48 Data Enablement Analyst to advance trusted master data, data quality, and practical AI enablement across the Lower 48 business units. You will partner with business, L48DT, and enterprise Data & AI teams to translate needs into governed data and AI-enabled solutions, ensuring analytics-ready data and governance.

The role combines governance fundamentals with technical data skills and AI enablement practices to deliver and support solutions; based in Houston,

Qualifications

• Bachelor’s degree or higher in Information Technology, Computer Science, Business, Engineering, Data Management, or related field.
• 7+ years of experience in data and analytics, including data governance, master data management, data quality, analytics delivery, or related discipline.
• 3+ years hands-on technical experience with Business Intelligence solutions, automation, or AI-enabled solution delivery.
• Experience with enterprise data platforms and data governance practices is preferred.

Responsibilities

• Improve master data quality and strengthen governance practices across L48 master data domains, systems of record and digital solutions.
• Profile, validate and troubleshoot data to identify quality issues, understand root causes, and support sustainable remediation.
• Provide consultation on data decisions, communicate system dependencies associated with master data decision; ensure risks and change impacts are clearly communicated and mitigated.
• Partner with business and IT stakeholders to define data ownership, stewardship, accountability, access controls, standards, and role clarity across master data domains.
• Define master data quality standards, issue management processes, remediation approaches, and best practices for key master data sets; ensuring source data is trusted, fit for purpose, governed, and ready for analytics, automation, retrieval, and AI consumption.
• Partner with Business Analysts and D&AI teams to translate business problems and use cases into data requirements, AI-ready data needs, access requirements, quality rules, analytical products, or AI-enabled solution paths.
• Promote responsible AI adoption by connecting teams to approved enterprise AI tools, data platforms, and governance practices while ensuring compliance with enterprise policies.

Skills

Data governance

Master data management

Data quality

Analytics delivery

SQL

Data modeling

Cross-functional collaboration

Problem solving

Education

Bachelor’s degree or higher in IT, CS, Business, Engineering, Data Management, or related field

Tools

Microsoft Fabric

Power BI

Snowflake

Databricks

Azure AI

Copilot technologies

Data catalogs

Job description

Welcome to ConocoPhillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here.

Who We Are

We are one of the world’s largest independent exploration and production companies, based on proved reserves and production of liquids and natural gas. With operations and activities in 13 countries, we explore for, develop, and produce crude oil and natural gas globally. We are challenged with an important job to safely find and deliver energy to the world. Our employees are critical to our success, and with them we power civilization.

Fostering an Inclusive Work Environment

To deliver superior performance, we create an environment that respects the contributions and differences of every individual. Wherever possible, we use these differences to drive competitive business advantage, personal growth and, ultimately, create business success.

Job Summary

The Sr L48 Data Enablement Analyst is a hands‑on technical role responsible for advancing trusted master data, data quality, and practical AI enablement across the Lower 48 (L48) business units.

This position partners with business, L48DT, and enterprise Data & AI teams to translate business needs into governed master data and AI‑enabled solutions, connect use cases to the right tools and platforms, and ensure master data is fit for analytics, automation, and AI consumption. The role combines strong master data governance fundamentals with technical data skills and working knowledge of AI enablement practices to deliver and support solutions.

Master data and AI are closely interconnected; trusted, well‑governed master data provides the foundation for reliable analytics, automation, and AI‑enabled solutions, while AI capabilities can help identify data quality issues, improve decision‑making, and accelerate business value when supported by clear governance, ownership, and fit‑for‑purpose data.

If you are passionate about leveraging data and AI to transform the energy industry and thrive in a collaborative, forward‑thinking environment, this is your opportunity to make an impact.

Position Overview

This position can be based out of Houston, TX, or Bartlesville, OK.

Your responsibilities may include:

• Improve master data quality and strengthen governance practices across L48 master data domains, systems of record and digital solutions
• Profile, validate and troubleshoot data to identify quality issues, understand root causes, and support sustainable remediation
• Provide consultation on data decisions, communicate system dependencies associated with master data decision; ensure risks and change impacts are clearly communicated and mitigated
• Partner with business and IT stakeholders to define data ownership, stewardship, accountability, access controls, standards, and role clarity across master data domains
• Define master data quality standards, issue management processes, remediation approaches, and best practices for key master data sets; ensuring source data is trusted, fit for purpose, governed, and ready for analytics, automation, retrieval, and AI consumption
• Partner with Business Analysts and D&AI teams to translate business problems and use cases into data requirements, AI‑ready data needs, access requirements, quality rules, analytical products, or AI‑enabled solution paths
• Promote responsible AI adoption by connecting teams to approved enterprise AI tools, data platforms, and governance practices while ensuring compliance with enterprise policies

Success Profile

To thrive in this role, you’ll demonstrate the following leadership competencies:

• Takes Accountability: Takes ownership of actions and follows through on commitments by courageously dealing with important problems, holding others accountable, and standing up for what is right.
• Drives Performance: Delivers results through realistic planning to accomplish goals.
• Makes Decisions: Generates effective solutions based on available information and makes timely decisions that are safe and ethical.

Required Qualifications:

• Legally authorized to work in the United States
• Bachelor’s degree or higher in Information Technology, Computer Science, Business, Engineering, Data Management, a related field, or foreign equivalent
• 7 or more years of experience in data and analytics, including data governance, master data management, data quality, analytics delivery, or related discipline
• 3 or more years of hands‑on technical experience with Business Intelligence solutions, automation, or AI‑enabled Solution Delivery

Preferred Qualifications:

• 3 or more years of experience in the upstream oil and gas industry
• Experience with master data management, data governance, data quality, metadata, lineage, cataloging, stewardship models, semantic models, and enterprise data management practices
• Hands‑on experience querying, profiling, validating, analyzing, and troubleshooting data using SQL, visualization tools, data quality solutions, data catalogs, and modern cloud data platforms
• Experience supporting enterprise applications, analytics products, automation, AI & digital solutions, leveraging platforms such as Microsoft Fabric, Power BI, Snowflake, Databricks, Azure AI, Copilot technologies, or related technology
• Strong understanding of AI‑ready data foundations and AI solution delivery, including governed data, access controls, retrieval and search, AI agents, prompt engineering, model evaluation, Responsible AI, governance, monitoring, and secure deployment
• Experience working in cross‑functional teams to define requirements, resolve data issues, drive governance adoption, and deliver master data and AI solutions from concept through implementation
• Embraces ConocoPhillips SPIRIT values including Safety‑First culture
• Ability to work in a fast paced, dynamic team environment and handle multiple projects and support activities simultaneously

Apply By:

Oct 1, 2026

Sponsorship:

ConocoPhillips’ sponsorship for employment authorization in the U.S. is NOT available for this position.

Benefits Overview

ConocoPhillips offers a competitive and comprehensive benefits package designed to support your well‑being and career growth:

• Taking Care of Your Health & Wellness: Medical, dental, vision, mental health support, and wellness programs.
• Supporting and Building Financial Security: Competitive base pay, annual performance bonuses, and retirement savings plans.
• Promoting Work-Life Balance: Paid time off, paid parental leave, and family support resources.
• Offering Career Development: Access to training, mentoring, and internal career mobility tools.
• Guiding Recognition & Inclusion: Peer-nominated awards, inclusive culture, and employee resource groups.

Why ConocoPhillips

At ConocoPhillips, we believe our people power the future of energy. We’re committed to creating a workplace where employees feel valued, supported, and inspired to grow—professionally and personally.

We don’t just offer jobs— we offer meaningful careers in a company that values how we work as much as what we achieve.

EEO:

In the US, ConocoPhillips is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other legally protected status.