AI Data Engineer 3

Partner with a leading global technology company at the forefront of digital innovation and critical infrastructure, where your expertise will directly shape the future of digital experiences worldwide. As an Aquent talent, you will join a high-performing team dedicated to making advanced technology accessible and impactful, bridging the critical gap between raw technical data and strategic business outcomes. In this pivotal role, you will have the unique opportunity to drive operational excellence, ensure the integrity of vital data systems, and directly influence strategic decision-making that powers essential global systems.

What You'll Do

• Drive collaborative efforts with engineering, operations, program management, and leadership to meticulously define data requirements and architect robust reporting and analytics solutions that empower strategic decisions.
• Uncover critical trends, identify anomalies, pinpoint operational gaps, proactively assess risks, and discover transformative opportunities for operational enhancement through precise analysis of extensive and intricate datasets.
• Ensure unparalleled accuracy, completeness, consistency, and integrity across diverse data sources and complex systems by conducting thorough data quality assessments, validation, and verification.
• Design, implement, automate, and rigorously maintain scalable data collection, transformation, and validation processes, significantly reducing manual effort and boosting system reliability.
• Develop and maintain comprehensive dashboards, insightful scorecards, precise KPI reporting, and intuitive self-service analytics solutions that provide clear, real-time visibility into operational performance, system health, and critical business outcomes.
• Establish robust data validation frameworks, proactive monitoring processes, and stringent quality controls to detect and resolve data issues before they impact operations.
• Partner strategically with technical teams to refine data models, improve metadata management, optimize reporting structures, and strengthen overall data governance practices, ensuring data trustworthiness.
• Translate complex technical findings into clear, concise, and actionable insights and recommendations, effectively communicating critical information to both highly technical and executive audiences.
• Drive continuous improvement initiatives through automation, standardization, and the strategic implementation of scalable reporting and analytics solutions that enhance efficiency and insight.
• Support in-depth root cause analysis and investigative efforts by expertly utilizing data to identify the underlying causes of performance issues and operational risks.
• Document processes, methodologies, reporting requirements, and data quality standards comprehensively to ensure consistency, scalability, and knowledge transfer across the organization.

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 industry-standard 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.