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Director, Data and Analytics Engineering

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The Director Data & Analytics Engineering, is responsible for leading a team of data & analytics engineers that build, manage and support the enterprise data and analytics technology products. Drive the data and analytics journey from traditional on-prem data technologies to a modern cloud based data and analytics platform. This leader creates a culture of effective risk management, accountability, and demonstration of risk awareness across the organization.

What You’ll Do

  • Provide technical leadership to drive delivery and execution of the overall Data & Analytics technology vision. Accelerate building and improving foundational and emerging technology capabilities centered around data and analytics technology such as foundational data assets, data engineering pipelines, data platforms, data products, and analytics & decisioning technology.
  • Engage in cross-functional relationships with Business Product owners, Data Scientists, and Analysts to understand product needs and delivery expectations. Drive adoption of new products, platforms, and data assets
  • Build & mentor high-quality engineering teams that deliver high quality, performant solutions that drive customer and business outcomes. Drive a product mindset and cross functional team structure to support the strategy and fast paced delivery of quality solutions
  • Provide product management for technology deliverables including planning, estimation, coordination and execution
  • Define the processes needed to achieve operational excellence in all areas including process management, resiliency and quality
  • Conduct research of strategic & emerging trends, lead proofs of concept and continuously drive innovation across the team

Qualifications You’ll Need

  • Bachelor's degree in Information Technology or Engineering required.
  • Masters degree in Information Technology or Engineering preferred.
  • 8+ years of experience in Information Technology Leadership, Analytics, Risk Management, Modeling, Consulting or related, required.
  • 4+ years of people management experience required.
  • 10+ years of experience Technology Leadership, Analytics, Risk Management, Modeling, Consulting or related, preferred.
  • Experience in building scalable and reliable platforms, ML platforms a plus.
  • Experience in distributed computing, data pipelines and AI / ML workflows preferred.
  • Experience in ML Model deployment and support preferred.
  • Experience with large scale data implementations, financial industry a plus

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