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Develop and manage EPC CPM schedules in Primavera P6, prepare baseline and update submittals, lead planning workshops, validate field progress, load resources, perform schedule variance and productivity analysis, create recovery scenarios and TIAs, support claims avoidance, and maintain 4D models and custom schedule reports.

Manage and grow existing customer accounts via phone and email: process and upsell orders, prepare and follow up on quotes, manage backorders and delivery expectations, collaborate with outside sales, report trends, and drive continuous process improvements.

Design, build, and maintain scalable batch and streaming data pipelines and storage on AWS. Own features end-to-end, collaborate with cross-functional teams, ensure data quality and observability, mentor engineers, and occasionally support field deployments.

Provide white-glove technical support for PryzmIQ and AWTOS: guide customers through setup and virtual inspections, troubleshoot connectivity and device issues, validate inspection data, document findings, and escalate complex cases to internal teams to improve product and customer outcomes.

Lead Revenue Operations and Business Operations team to own systems, data, analytics, processes, and AI-enabled automation. Drive GTM systems architecture, reporting, forecasting, vendor selection, and cross-functional operational transformation to scale the business.

Provide production application and Big Data platform support for critical financial systems: monitor, troubleshoot, tune Hadoop/Cloudera clusters, manage incidents and releases, maintain runbooks, perform risk reconciliations, liaise with stakeholders and vendors, drive stability and SRE best practices, and coach junior staff.

Lead a global trading analytics team to aggregate, cleanse, structure and visualize trading data across systems and counterparties. Provide insights and materials for senior management, partner with digital and specialist teams to align products and identify investment opportunities, and serve as central analytics contact for capital markets activities.

Senior IT Business Lead Analyst for Fixed Income Electronic Trading responsible for gathering and translating business requirements, data analysis and reporting, solution design and validation, process mapping, stakeholder management, risk reporting, and mentoring junior analysts. Drives projects from inception through go-live and ensures compliance and control adherence.

Perform stress analysis for metallic and composite aircraft cabin and cargo interior structures using hand calculations and FEA; review supplier stress substantiation; coordinate with design teams and suppliers; produce technical documents and presentations; support design from concept through certification while meeting project timelines.

Lead flightline engineering for A220/A320: diagnose and authorize repairs, define structural solutions for metallic and composite non‑conformities, liaise between design and production, approve temporary test configurations and corrective actions, present technical justifications to customers and authorities, and mentor junior engineers. Provide end‑to‑end support from section delivery through ferry flight.

Support and champion systems safety and regulatory compliance for defence and space projects. Develop safety and environmental cases, influence stakeholders, support MILSATCOM ground projects, and produce safety documentation while learning regulatory frameworks (CE, export control, GDPR, AI).

Lead and grow the Customer Success organization while directly managing strategic enterprise accounts. Own retention, renewals, expansion, and NRR through executive engagement, scalable renewal/upsell motions, forecasting, cross-functional collaboration, operational improvements, and talent development. Act as escalation point for key accounts and drive KPI accountability for retention, churn, product adoption, and expansion.

Use EHRs and BI tools to collect, analyze, visualize, and report quality and performance improvement data. Develop Power BI dashboards, identify trends/outliers, analyze incident reports, and support compliance reporting (Joint Commission, CARF, HIPAA, HRSA).

As an AI Data Engineer, you will build and maintain data pipelines and AI models to enhance GTM strategies, improving decision-making and operational efficiency.