Director of Data , NYC, New York

Director of Data, Manage Team of 25 + Data/Analytic Engineer 

Role and Responsibilities

Lead a Data and Analytics engineering team to create an accessible and comprehensive view of customer and product data through consolidating and rationalizing existing disparate data stores. Based on a consolidated data store build advance analytics to drive knowledge based customer interactions, enable self-service, and create intelligent product recommendations.

  • Create and lead a high performing data and analytics engineering team that can drive and use Big Data to intelligently interact with its customers.
  • Improve visibility to Customer interactions.  For the business create product cross-selling and upselling opportunities.  For our customers create personalized recommendations based on a deep understanding of who they are.
  • Assess the current team and build skill in critical data engineering disciplines, such as: Data Warehouses, Business Intelligence,  NoSQL, Hadoop, Storm, Kafka, Cassandra, Redshift, MapReduce, Machine Learning Techniques
  • Drive agile engineering best practices and implement SAFe methodology across the teams.
  • Deliver incremental capability on a regular basis, continually increasing the strength of our data and analytics portfolio.
  • Recruit and develop strong engineering talent across the organization.




Qualifications and Education Requirements

Deep experience with Big Data Technologies and how to use them to help a business harness the power of it’s business and customer data.  Experience leading a 25+ person Data and Analytics Engineering Team.

  • Bachelor’s Degree in Engineering, Master’s Preferred, Data Oriented Preferred
  • Experience in an agile engineering model and implementing high quality engineering best practices
  • 15+ years of progressive experience in software product development, with a track record of successful high quality deliveries
  • Experience leading and managing teams of 25+ engineers
  • Ability to lead by influence and drive change in an organization
  • Experience with key Big Data technologies, such as Hadoop, Storm, Kafka, NoSQL, Cassandra, Redshift, MapReduce
  • Experience with Cloud Computing and Big Data and how to best leverage the two disciplines
  • Ability to create an architecture and vision for how to best employ data and analytics technologies to its business needs.
  • Ability to decompose that vision into manageable pieces and drive an engineering team to deliver high quality working software.
  • Experience with high quality agile engineering best practices
  • Experience leading BOTH development and quality functions
  • Ability to identify metrics that are critical to engineering progress
  • Ability to hire, train, and grow top engineering talent in the Data disciplines

Forward Resumes to


Submit Resume for this Position

Please use the form to submit your resume for this position.
  • Accepted file types: doc, pdf, txt, docx, Max. file size: 2 MB.