AI Data Engineer 3

Partner with Aquent to make a profound impact at a global technology leader that is shaping the future of digital innovation and critical infrastructure. In this dynamic role, you will bridge the gap between complex technical data and strategic business outcomes, directly influencing the systems that power essential global operations. By designing robust data frameworks and unlocking critical insights, your work will empower leadership to make high-stakes decisions, drive operational excellence, and ensure the integrity of vital data systems worldwide.

The Opportunity

We are seeking a forward-thinking data professional to join a high-performing team dedicated to making advanced technology accessible and highly impactful. In this role, you will collaborate closely with cross-functional teams-including engineering, operations, and executive leadership-to architect sophisticated reporting and analytics solutions. You will have the opportunity to dive into extensive, intricate datasets to uncover transformative trends, mitigate operational risks, and champion continuous improvement through automation and standardization. This is a chance to elevate data trustworthiness and deliver scalable solutions that provide real-time visibility into global system health.

What You'll Do

• Collaborate with engineering, operations, program management, and leadership to define data requirements and architect robust reporting and analytics solutions.
• Analyze extensive and intricate datasets to uncover critical trends, identify anomalies, pinpoint operational gaps, and proactively assess risks.
• Conduct thorough data quality assessments, validation, and verification to ensure accuracy, completeness, and consistency across diverse data sources.
• Design, implement, automate, and maintain scalable data collection, transformation, and validation processes to reduce manual effort and boost reliability.
• Develop and maintain comprehensive dashboards, scorecards, KPI reporting, and self-service analytics solutions to provide real-time operational visibility.
• Establish robust data validation frameworks and proactive monitoring processes to detect and resolve data issues early.
• Partner with technical teams to refine data models, improve metadata management, and strengthen overall data governance practices.
• Translate complex technical findings into clear, actionable insights and recommendations for both technical and executive audiences.
• Drive continuous improvement initiatives through automation, standardization, and scalable reporting solutions.
• Support in-depth root cause analysis and investigative efforts to identify the underlying causes of performance issues.
• Document processes, methodologies, reporting requirements, and data quality standards to ensure organizational scalability and knowledge transfer.

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a closely related technical field.
• Proven experience designing and implementing sophisticated data quality validation, verification, and monitoring processes.
• Demonstrated strong troubleshooting, advanced problem-solving, sharp analytical thinking, and investigative skills.
• Extensive experience in business intelligence, reporting, data quality management, or related analytical disciplines.
• Proficiency in developing dynamic dashboards and compelling visualizations using leading business intelligence tools such as Power BI, Tableau, or similar platforms.
• Experience automating manual processes using scripting, advanced workflow automation, or robust data integration technologies.
• Solid written and verbal communication skills with the exceptional ability to convey complex technical findings to diverse audiences, from engineers to executives.
• Demonstrated success in delivering scalable solutions that significantly enhance efficiency, data accuracy, and operational visibility.

Nice-to-Have Qualifications

• Experience with operational, engineering, IoT, industrial controls, or critical infrastructure data.
• Experience implementing automated data validation and sophisticated exception management processes.
• Experience developing executive-level dashboards and high-impact KPI scorecards.
• Familiarity with complex operations and power distribution systems.
• Ability to analyze telemetry data to spot subtle irregularities and contribute effectively to problem-solving initiatives.