Oxy produces , markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
The IT Advisor for Petrophysical & Borehole Data Management will lead enterprise initiatives focused on the management, migration, integration, governance, and business adoption of petrophysical and borehole data solutions. This role will be centered on Landmark DecisionSpace®365 Borehole Data Management (BHDM), DSIF-based deployment architecture, cloud-hosted subsurface data platforms, and the enablement of high-quality well log, core, and related subsurface data for technical users across the business.
This position will serve as a senior technical advisor and engagement lead between business users, petrophysicists, geoscientists, data managers, IT, cloud architecture teams, vendors, and project stakeholders. The role will help drive adoption of modern borehole data management workflows, promote the value of centralized and governed petrophysical data, and ensure that subsurface data is searchable, trusted, accessible, and usable across interpretation, modeling, analytics, and operational workflows.
The ideal candidate will combine deep petrophysical data management expertise with practical experience in BHDM / DSIF products, cloud architecture, data migration, quality control, metadata governance, project delivery, stakeholder engagement, and change management. The position requires someone who can translate business needs into actionable technical requirements, guide implementation teams, engage end users, and promote the work being delivered across the organization.
Key Responsibilities
- Lead and advise on enterprise petrophysical and borehole data management initiatives, with emphasis on BHDM, DSIF, Recall, iPoint, well log repositories, core data, SCAL data, and related subsurface datasets.
- Partner with business users, petrophysicists, geoscientists, data managers, petro/geo techs, software developers, IT, cloud teams, and vendor resources to define requirements, validate workflows, and deliver fit-for-purpose data management solutions.
- Serve as a key liaison between technical delivery teams and business stakeholders, ensuring that data management projects align with asset needs, subsurface workflows, and enterprise data standards.
- Support the deployment, configuration, testing, and operational readiness of BHDM and DSIF-based solutions in cloud-hosted environments.
- Provide subject matter expertise for cloud architecture discussions related to BHDM / DSIF deployment, including AWS tenant configuration, networking, identity integration, security controls, logging, scalability, performance, and operating model considerations.
- Lead or contribute to data migration efforts from legacy systems such as Recall, iPoint, shared repositories, and other borehole data sources into a modern BHDM environment.
- Define, implement, and improve data ingestion workflows for wireline logs, cased-hole logs, open-hole logs, MWD/LWD data, core data, SCAL data, imagery, documents, and associated metadata.
- Establish and maintain quality control workflows for petrophysical datasets, including validation of headers, curves, units, mnemonics, depth references, data gaps, null values, spikes, flat sections, saturation effects, and metadata completeness.
- Develop and promote business rules, technical assurance protocols, data standards, and governance practices that ensure borehole data integrity, lineage, traceability, and long-term usability.
- Support automated ingestion, validation, approval, publication, search, visualization, export, and transfer workflows for borehole data.
- Work with business users to identify pain points, gather feedback, document requirements, prioritize enhancements, and promote adoption of new data management tools and workflows.
- Create and deliver presentations, workflow demonstrations, training materials, technical documentation, project updates, and communications that explain the value of BHDM / DSIF capabilities to both technical and non-technical audiences.
- Help promote the work of the data management organization by communicating project progress, business value, data quality improvements, efficiency gains, and future roadmap opportunities.
- Lead user acceptance testing, workflow validation, issue resolution, and transition-to-operations activities in partnership with business and technical teams.
- Support project planning, risk management, milestone tracking, vendor coordination, dependency management, and stakeholder reporting for complex data management initiatives.
- Troubleshoot data ingestion, access, migration, metadata, quality, search, visualization, export, and user workflow issues.
- Ensure solutions comply with enterprise data governance, cybersecurity, access control, entitlement, and records retention requirements.
- Remain current with evolving technologies in petrophysical data management, borehole data repositories, cloud platforms, AI/ML, analytics, automation, and subsurface digital transformation.
Technical Skills & Experience
- 10+ years of experience in petrophysical data management, borehole data management, subsurface data management, geoscience data systems, or related disciplines.
- Deep understanding of petrophysical and borehole data types, including open-hole logs, cased-hole logs, MWD, LWD, image logs, core data, sidewall core, SCAL, fluid properties, rock typing, facies, geochemical data, geomechanical data, interpretations, and related subsurface datasets.
- Strong working knowledge of well log file formats and associated metadata, including LAS, DLIS, LIS, WITSML, SPWLA, ASCII, FMI/image log files, and other vendor-specific formats.
- Experience with Landmark / Halliburton technologies such as BHDM, DSIF, DecisionSpace, Recall, Dropsite, Enterprise Search, and related borehole data workflows is strongly preferred.
- Experience with iPoint or similar core and SCAL data management systems.
- Strong understanding of petrophysical data quality control methods, including depth alignment, curve validation, SP baseline offsets, unit standardization, mnemonic aliasing, duplicate detection, curve classification, and header verification.
- Excellent working knowledge of curve mnemonics and units for open-hole, cased-hole, MWD, LWD, image logs, production logs, and supporting well log data types.
- Strong understanding of logging operations, drilling, coring, geodetics, well headers, log headers, downhole units of measure, coordinate reference systems, API numbering standards, and enterprise well master data.
- Experience with petrophysical interpretation and visualization tools such as Interactive Petrophysics, Techlog, LasWorx, Recall, Petrel, OpenWorks, Danomics, and similar applications.
- Experience with enterprise-scale ingestion, transformation, migration, and management of petrophysical data from multiple source systems into governed repositories.
- Understanding of metadata management, master data alignment, data lineage, auditability, version control, entitlements, access controls, and data lifecycle management.
- Working knowledge of cloud computing and cloud-hosted data platforms, preferably AWS, including cloud-native services, data lake concepts, containerized deployments, Kubernetes, networking, logging, monitoring, identity integration, and security controls.
- Ability to work effectively with cloud architects and infrastructure teams to support BHDM / DSIF deployment, hardening, testing, and operational readiness.
- Competence in SQL, Python, Excel, and scripting approaches for data extraction, transformation, analysis, reporting, and automation.
- Familiarity with database management systems such as SQL Server, Oracle, and other enterprise data platforms.
- Experience with business intelligence and visualization tools such as Power BI, Spotfire, Power Automate, dashboards, scorecards, and reporting solutions.
- Familiarity with AI/ML and data science techniques used in petrophysical workflows, including statistical analysis, predictive modeling, anomaly detection, data quality automation, and pattern recognition.
- Working knowledge of OSDU concepts, APIs, data models, and interoperability standards is beneficial, but this role is not primarily OSDU-focused.
- Ability to troubleshoot complex data ingestion, access, integration, migration, and data quality issues across multiple systems and stakeholder groups.
Cloud Architecture & Platform Delivery
- Support the design, deployment, validation, and operational readiness of BHDM / DSIF environments in AWS or other approved cloud platforms.
- Collaborate with IT, cybersecurity, cloud engineering, architecture, and vendor teams to validate deployment patterns, identity integration, network segmentation, logging, monitoring, storage, compute, scalability, and security requirements.
- Help define the operating model for business-owned and IT-supported borehole data platforms, including responsibilities, support processes, issue escalation, and transition-to-operations expectations.
- Participate in architecture validation, pre-production testing, performance testing, scalability reviews, and production-readiness activities.
- Support containerized application deployment concepts, cloud-native services, data transfer workflows, and secure access to enterprise subsurface data.
- Translate business requirements into platform capabilities and ensure technical design decisions support practical end-user workflows.
Project Management & Business Engagement
- Lead or support complex data management projects from planning through deployment, migration, testing, adoption, and transition to operations.
- Develop project plans, milestones, schedules, risk logs, issue trackers, decision records, status reports, and stakeholder communications.
- Facilitate workshops with business users, technical teams, vendors, and leadership to define requirements, validate workflows, review progress, and resolve issues.
- Drive user acceptance testing, workflow testing, migration validation, and sign-off activities.
- Engage with senior leadership and asset teams to communicate strategy, project value, delivery progress, risks, dependencies, and business outcomes.
- Promote adoption of BHDM / DSIF workflows by demonstrating business value, improving user experience, and connecting data management activities to subsurface decision-making.
- Create and present technical reports, executive summaries, workflow diagrams, presentations, training guides, whitepapers, and adoption materials.
- Manage conflicting priorities, ambiguous requirements, and cross-functional dependencies while delivering results within defined timelines.
- Act as an advocate for data quality, data governance, workflow standardization, and modern subsurface data management practices.
Communication & Leadership
- Excellent verbal and written communication skills, with the ability to explain complex petrophysical, data management, and cloud architecture concepts to both technical and non-technical audiences.
- Strong stakeholder engagement skills with the ability to build trusted relationships across business units, IT, technical disciplines, vendors, and leadership teams.
- Demonstrated leadership in guiding teams through data governance standards, workflow changes, platform adoption, and process improvement.
- Ability to listen actively, understand business pain points, identify practical solutions, and implement improvements in production environments.
- Strong facilitation skills for workshops, user interviews, technical reviews, design sessions, and project meetings.
- Demonstrated ability to influence without direct authority across multi-disciplinary and cross-functional teams.
- Proactive, self-driven, and comfortable working through ambiguity with limited direction.
- Strong problem-solving skills with the ability to address data quality issues, governance gaps, platform limitations, user adoption challenges, and technical delivery risks.
- Detail-oriented with a strong commitment to data consistency, accuracy, completeness, traceability, and usability.
- Ability to promote team accomplishments, communicate the value of data management work, and help increase business awareness of available tools, services, and capabilities.
Qualifications
- Bachelor’s or master’s degree in Geoscience, Petroleum Engineering, Data Science, Information Systems, Computer Science, or a related technical discipline.
- 10+ years of relevant experience in petrophysical data management, borehole data management, subsurface data systems, geoscience technology, data governance, or digital transformation.
- Demonstrated experience managing or supporting enterprise well log, core, SCAL, or subsurface data repositories.
- Hands-on experience with legacy and modern subsurface data systems such as Recall, iPoint, Interactive Petrophysics, Techlog, Petrel, OpenWorks, LasWorx, Danomics, or equivalent tools.
- Experience with BHDM, DSIF, DecisionSpace, Dropsite, Enterprise Search, cloud deployment, or similar enterprise borehole data management platforms is strongly preferred.
- Experience supporting cloud-hosted platforms, preferably in AWS.
- Strong SQL, Excel, data analysis, reporting, and scripting skills.
- Experience with data governance, metadata management, data quality frameworks, business rules, access controls, and data lifecycle management.
- Experience leading projects, coordinating vendors, facilitating business workshops, and presenting to technical and leadership audiences.
- Familiarity with OSDU and open subsurface data standards is preferred but not required as the primary focus of this role.
Preferred Experience
- Experience deploying or supporting BHDM / DSIF within a customer-managed AWS environment.
- Experience migrating large-scale historical well log and core datasets from Recall, iPoint, shared drives, vendor repositories, or other legacy systems.
- Experience configuring or supporting borehole data ingestion workflows, metadata extraction, automated QC, approval workflows, search, visualization, and export processes.
- Experience developing data standards for curve mnemonics, units, log types, naming conventions, well identifiers, depth references, and metadata completeness.
- Experience working with vendor implementation teams, cloud security experts, customer success teams, and professional services resources.
- Experience with data visualization, dashboards, business reporting, and executive communication.
- Experience applying AI/ML or automation techniques to petrophysical data quality, classification, search, metadata enrichment, or predictive workflows.
Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
