Analytics Program Lead

AIG InsuranceParsippany, NJ
Onsite

About The Position

Drive best-in-class data engineering by designing, building, and maintaining cloud native big data solutions. Lead a team of data engineers and managers, as well as drive solutions as a principal data engineer. Collaborate with stakeholders to assess their needs and find innovative data solutions. Work on the delivery and ongoing maintenance of solutions that continuously deliver business value. Work closely with Data Architects and Senior Engineers to implement sustainable best practices and technical design. Work with Analytics, Application Development, and Data Science teams. Implement rigorous standards and documentation for software development and code management, and design requirements that provide quality work on fast-paced schedules. Manage and prioritize project timelines and deliverables, work with external dependencies, and communicate with stakeholders. Share knowledge and best practices across the enterprise. Collaborate with external and internal Data Engineering teams. Work with technology, programming, application delivery, and tool design and development; project management in software development; and Agile project execution. Work with technology, programming, application delivery, and tool design and development; project management in software development; and Agile project execution.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Electronic Engineering, or a related field of study.
  • Five (5) years of experience with technology, programming, application delivery, and tool design and development.
  • Three (3) of the five (5) years of required experience must include experience with project management in software development and Agile project execution.

Responsibilities

  • Design, build, and maintain cloud native big data solutions.
  • Lead a team of data engineers and managers.
  • Drive solutions as a principal data engineer.
  • Collaborate with stakeholders to assess their needs and find innovative data solutions.
  • Work on the delivery and ongoing maintenance of solutions that continuously deliver business value.
  • Work closely with Data Architects and Senior Engineers to implement sustainable best practices and technical design.
  • Work with Analytics, Application Development, and Data Science teams.
  • Implement rigorous standards and documentation for software development and code management.
  • Design requirements that provide quality work on fast-paced schedules.
  • Manage and prioritize project timelines and deliverables.
  • Work with external dependencies.
  • Communicate with stakeholders.
  • Share knowledge and best practices across the enterprise.
  • Collaborate with external and internal Data Engineering teams.

Benefits

  • Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development
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