Assistant Manager, Data Quality & Business Analysis

About the team you are joining You will join the Turbulence Aware NextGen project team, a cross-functional group working to modernize IATA’s turbulence data platform and deliver new data-driven capabilities for airlines. The team works closely with business, technology, vendor, and airline stakeholders to ensure the platform is reliable, scalable, and ready to support future products and services. What your day would be like In this role, your day would involve working closely with the Assistant Director and project stakeholders to support the Turbulence Aware NextGen platform migration and delivery of new data-driven features. You would review and document data quality requirements, analyze validation results, investigate data discrepancies, prepare reconciliation and testing evidence, and follow up on open issues with busine ss, technical, vendor, and airline stakeholders. You would also help maintain key project documentation, support testing activities, contribute to dashboards and reports, and ensure that data quality, migration, and feature delivery activities are well documented and traceable. Key responsibilities would 1. Data Quality Governance Control · Support the definition and documentation of data quality requirements, including applicable standards, validation rules, business rules, and acceptance criteria, to help ensure the reliable and continuous operation of the Turbulence Aware NextGen platform. · Support the Assistant Director in designing the Data Quality Control Module of Turbulence Aware NextGen. · Support the design of the Quality Control Module and quality KPIs and dashboards for: 1. Airline-provided EDR and ACARS data 2. 3 rd party provided supplemental data 3. Output datasets distributed to airline participants · Identify, document, and investigate data anomalies, including root causes and define remediation actions. · Support issue resolution with airlines, developers, infrastructure teams, and internal stakeholders. · Document findings and support the preparation of audit-ready data quality reports. 2. Data Migration Preparation Reconciliation · Support pre-migration data profiling and baseline validation. · Assist in developing reconciliation frameworks for legacy vs. new platform outputs. · Support validation of data completeness, consistency, timeliness, and accuracy before cutover. · Track and document discrepancies, resolution actions, and sign-off criteria. · Support cutover readiness assessments and post-migration stabilization reviews. 3. Support for Turbulence Aware platform migration and new feature delivery · Support development and validation of new revenue-generating features. · Assist in defining acceptance criteria and validation metrics for nowcast, forecast, and alerting products. · Support testing activities by preparing, documenting, and maintaining test scripts, and help track test execution progress. · Help verify that deployed features meet defined quality, latency, and reliability standards. · Assist in preparing documentation and dashboards for customers' onboarding and commercialization. 4. Documentation Governance · Maintain comprehensive documentation, including: o Data dictionaries o Validation rules o Test plans and scripts o Reconciliation reports o Analytics feature specifications