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Director, IT, Data Flow Chapter Lead

Posted January 09, 2026
Full-time Mid-Senior Level

Job Overview

We are seeking a highly skilled Data Engineer / Data Flow Chapter Lead to drive our data integration and data flow capabilities. You will lead a team of engineers and analysts, overseeing the design, implementation, and management of all data flows and reporting frameworks across the firm. This role is pivotal in building scalable, reliable, and secure data pipelines that power business operations and strategic decision-making.

You Will:

  • Lead, mentor, and develop a high-performing team of data engineers.
  • Define and implement best practices for data flow design, monitoring, and governance.
  • Collaborate with business and technology stakeholders to align data flow strategy with organizational goals.
  • Architect and maintain data pipelines for ingestion, transformation, and delivery across multiple systems and formats (CSV, XML, JSON, APIs, SFTP, etc.).
  • Ensure scalability, reliability, and security of data flow across environments.
  • Implement monitoring and alerting frameworks to guarantee timely and uninterrupted data movement.
  • Identify and drive automation opportunities to reduce manual interventions and improve efficiency.
  • Optimize data delivery and infrastructure for performance and cost-effectiveness.
  • Establish robust validation and reconciliation processes to ensure data accuracy and completeness.
  • Stay current with emerging technologies and recommend innovative solutions to enhance data flow capabilities.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Responsible for performing thorough testing and validation to support the accuracy of data transformations and data verification.
  • To design and setup appropriate monitoring processes to ensure timely and uninterrupted dataflow.
  • Be able to structure data flow in ways that provide detail and insight on data flows, so that issues can, effectively and efficiently, be traced back to the underlying problem.

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