Senior Data Enablement & AI Solutions Analyst

Socket.dev

Houston (TX)

On-site

USD 120,000 - 170,000

Full time

8 days ago

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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.