Data Engineer II – Operational Insights

About the role

The Operational Insights Analyst II role within the Program Controls, Operations & Modernization (ProCOM) Office establishes and strengthens a scalable "risk intelligence layer" across incident management and operational governance. This role transforms operational data into actionable intelligence that improves situational awareness, control effectiveness, and leadership decision‑making.

Key responsibilities

• Analyze operational incidents, service disruptions, and risk events to identify trends, recurring failure patterns, and systemic control gaps across products, platforms, and regions.
• Develop executive‑ready intelligence briefings and dashboards that communicate operational health, customer impact, financial exposure, and emerging risk trends.
• Investigate operational issues, partner with incident owners and engineering teams to validate information, assess impacts, and identify escalation risks.
• Translate operational data into actionable risk and control insights, evaluate control effectiveness, and recommend process improvements.
• Design, build, and maintain data pipelines, workflows, and analytical solutions that ensure reliable data availability and quality.
• Optimize components of distributed data processing solutions to improve scalability, efficiency, and reliability.
• Consolidate information from multiple sources into a unified operational intelligence view through data integration processes.
• Contribute to data lake environments and analytical data structures that support risk monitoring and decision‑making.

Required profile

• Strong analytical and problem‑solving skills with the ability to evaluate operational issues and recommend corrective actions.
• Proven ability to transform large, complex datasets into actionable business insights and executive‑level recommendations.
• Experience designing, developing, and maintaining scalable data solutions for operational analytics and risk intelligence.
• Ability to identify data quality issues, troubleshoot challenges, and implement sustainable improvements.
• Excellent written and verbal communication skills for conveying technical concepts to both technical and non‑technical audiences.
• Curiosity and a proactive mindset to navigate ambiguity and drive innovation.

Required skills

• Data pipelines (ingestion, transformation, storage)
• Distributed data processing systems
• Data integration and management
• Data lake architecture and utilization
• Workflow orchestration and management
• Data modeling and database design
• Database administration fundamentals
• Data security, governance, and operational controls