Pavement EngineerPavement Data Rater (Roads O&M)

Pavement Data Collection/ Processing Engineer

Position Summary

We are seeking a Pavement Engineer / Pavement Data Rater to perform quality assurance and quality control (QA/QC) of processed pavement condition data prior to client submission or upload into a Pavement Management System (PMS). The role focuses on updating and verifying the accuracy consistency and completeness of processed pavement datasets ensuring that condition ratings distress quantities and severity classifications comply with project specifications applicable standards and client requirements. The successful candidate will work closely with data processing teams pavement engineers and project managers to ensure that only validated reliable and audit-ready data is delivered to clients.

Key Responsibilities

Processed Data Review and QA/QC

• Perform detailed QA/QC checks on processed pavement condition data prior to client submission or PMS upload.
• Verify accuracy and consistency of pavement distress data including cracking rutting ravelling bleeding texture roughness and other surface defects.
• Review distress quantities severity levels and ratings to ensure alignment with approved methodologies and standards.
• Cross-check processed outputs against raw data samples images and reference datasets as required.
• Identify anomalies inconsistencies or potential errors and coordinate corrective actions with the data processing team.
• Perform quality control and quality assurance (QC/QA) on processed data to ensure accuracy and consistency.
• Classify and interpret pavement conditions based on established standards (e.g. ASTM LTPP manual).

Pavement Rating and Condition Assessment

• Perform pavement distress rating and condition assessment using approved rating systems (e.g. visual rating scales index-based systems or PCI-type approaches).
• Ensure correct application of distress definitions severity thresholds and rating rules.
• Validate calculated indices and condition scores prior to finalization.
• Support calibration and consistency checks across sections routes or survey areas.
• Collaborate with senior pavement engineers and asset managers to ensure the data is appropriately structured for analysis.
• Apply severity classifications and thresholds in line with project requirements and industry standards to modify the default data received from machine processing.
• Manage and organize large datasets using spreadsheets databases and specialized pavement software.
• Maintain clear documentation of data processing workflows assumptions and revisions.
• Generate comprehensive reports and visualizations to communicate findings and recommendations to management and relevant stakeholders.
• Identify opportunities for process optimization and propose improvements to enhance data collection processing and analysis efficiency.
• Generate comprehensive pavement condition data reports and data deliverables in required formats.
• Work with senior engineers to analyse data trends and contribute to pavement evaluation.
• Assist in the development and maintenance of Pavement Management Systems (PMS) by providing reliable condition data.
• Provide technical support and insights for proposals and client meetings related to data collection services.

Documentation and Reporting

• Prepare QA/QC comments logs and checklists documenting findings and corrective actions.
• Provide clear feedback to processing teams to support continuous improvement.
• Support preparation of technical summaries and data validation notes for client reporting.
• Assist in responding to client or internal audits related to pavement data quality.

Qualifications :

Required:

• Bachelors degree in Civil Engineering Transportation Engineering Pavement Engineering or a related discipline.
• A postgraduate qualification in Pavement Engineering or Asset Management is an advantage. Proficiency with LCMS-2 data processing and QA/QC software (e.g. ROMDAS Data View).
• Solid understanding of pavement distress types (ASTM D6433) and automated data acquisition systems.

Preferred:

• Previous experience in GCC Western regions with LCMS-2.
• Experience with other pavement data collection systems (e.g. ROMDAS ARAN Hawkeye)
• Experience with GIS software (ArcGIS QGIS) and database management.
• Knowledge of scripting (e.g. Python R) for data manipulation and automation is desired.
• Valid drivers license.

Experience

• Minimum 510 years of relevant experience in pavement engineering pavement condition assessment or pavement management.
• Strong experience in reviewing and validating processed pavement data. Preparation of check sheets/ programs to automate the review and validation processes.
• Demonstrated experience in pavement distress identification severity classification and rating systems (ASTM D6433 LTPP).
• Hands-on experience with Pavement Management Systems (PMS) is desirable.

Skills & Competencies

• Technical Proficiency: Deep practical knowledge of the LCMS-2 software suite.
• Analytical Mindset: Strong data analysis and problem-solving skills with a keen attention to detail.
• In-depth knowledge of pavement distresses condition indicators and performance measures.
• Strong understanding of pavement rating methodologies and index-based condition systems.
• Familiarity with relevant standards and guidelines (e.g. ASTM AASHTO ISO FHWA local authority manuals).
• Proficiency in reviewing and validating large datasets using MS Excel (advanced) databases GIS and PMS tools.
• Ability to interpret pavement images profiles and processed outputs for validation purposes.
• Independence: Ability to work independently in the field with minimal supervision.
• Communication: Ability to document procedures clearly and communicate technical findings effectively to team members.
• Adaptability: Flexibility to handle changing schedules project demands and travel requirements.

Professional and Personal Competencies

• Exceptional attention to detail and commitment to data accuracy.
• Strong analytical and critical-thinking skills.
• Ability to identify data inconsistencies and recommend corrective actions.
• Clear written and verbal communication skills.
• Strong time management skills and ability to meet tight delivery deadlines.

Additional Information :

Remote Work :

No

Employment Type :

Full-time