Cristina Gomez

About Cristina Gomez

Senior Maintenance & Reliability Engineer with experience leading multi-site programs, multi-consultant teams, and large-scale industrial initiatives across the Americas. Strong background in project leadership, maintenance strategy development, asset performance improvement, and master data governance in SAP and Maximo. Skilled in RCM, FMECA, RCA, criticality analysis, and reliability data interpretation.I specialize in integrating data science into reliability and maintenance. I use Python, analytics, and engineering expertise to process maintenance histories, identify failure patterns, automate workload leveling, and strengthen PM optimization and RAM/RCM/FMECA evaluations. My approach blends technical depth with structured decision-making to improve asset reliability, reduce operational risk, and enhance long-term performance.Recognized for strong communication, clear leadership, and the ability to deliver high-quality results in complex, fast-paced operational environments.

Experience

1. Senior Maintenance & Reliability Engineer

   MaxGrip

   Jul 2019 — Present · Houston, TX, US

   Lead multi-consultant teams on multi-site reliability and maintenance programs, overseeing planning, task allocation, hours forecasting, and PSA/billability- Serve as Project Lead for most engagements, managing scope, deliverables, risks, schedules, and communication across engineering and operations- Deliver executive-level Quarterly Business Reviews, presenting performance, risks, financials, and strategic recommendations- Support recruitment by participating in interviews and technical evaluations to assess candidate capability and fit- Act as primary point of contact for long-term reliability and asset-management programs, ensuring alignment with operational priorities and consistency across workstreams- Coordinate cross-functional teams and global resources to execute PM optimization, master data improvements, and reliability strategy deployments- Perform RCM, FMECA, RCA, Criticality Analysis, and PM Optimization to improve asset reliability and reduce failures- Build and optimize SAP PM and Maximo structures, including task lists, job plans, routes, maintenance plans, PMRs, and BOMs- Analyze equipment performance data and KPIs to guide decisions on maintenance strategies, spare parts planning, and reliability improvements- Support capital projects by applying RCM and criticality analysis during design stages to incorporate reliability early- Develop templates, procedures, and knowledge-sharing materials to improve consistency across technical teams- Apply data science and Python-based analysis to process maintenance histories, identify failure patterns, and support RAM/RCM/FMECA evaluations- Clean and structure maintenance datasets, automate workload leveling, and streamline PM optimization efforts- Integrate analytical insights into engineering recommendations and deliverables to strengthen alignment and decision-making.

Education

• Rice University

  Master's degree, Data Science