Director Data Engineering Finance (Remote Work Option*)

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WHO ARE WE LOOKING FOR

We are seeking a high performing Director Data Engineering to play a critical role in the development of Nike’s Enterprise Data & Analytics capabilities. You will lead organization with focus on the development of scalable data and analytic capabilities for Finance, HR and other corporate functions at NIKE. You will work on development projects related to revenue and margin, expense management, Payables and Receivables Analysis, and other financial analytic constructs. As a leader, you are thoughtful, aspirational, and adept at motivating teams through ambiguous situation to successful outcomes.

 

WHAT WILL YOU WORK ON

  • Lead delivery of scalable, maintainable and performant data and analytics solutions. Design and build reusable components, frameworks and libraries at scale to support analytics data products
  • Lead, Inspire, Coach and Grow team of engineers.
  • Partner with other engineering teams across Nike, to collaborate on specific technologies and build out various data sets together. Partner with product managers and analytics leaders to help prioritize work
  • Leading discussions to scale out data architecture to process large data sets, and solve various data challenges. Partner with enterprise platform and architecture, strategizing together to drive roadmaps and use standards and platforms at Nike.
  • Adapt new and emerging technologies to enable first-class solution. Drive Engineering Excellence through continuous improvement of People, Process and Technology
  • Together we will craft and cultivate an environment that values and promotes autonomy, skill mastery, empowerment, transparency, innovation and continuous learning.

 

WHO WILL YOU WORK WITH

You will be working with diverse team of thoughtful, intelligent and creative people. At Nike, we embrace and celebrate unique talent and experience of our teammates.

In this role you’ll be working closely with passionate and driven Product Management, Architects, Engineers, Data Analysts, Internal partners and other departments. They will span across various groups including Finance, HR and other Corporate functions. You will be in contact with a wide range of extraordinary people. One of Nike’s maxims is “Win as a Team”. In all interactions, you will find success in teamwork, a positive attitude, and hard work

 

You are:

  • Business Minded Technology Leader: Obsess to drive Customer Value, Deliver high quality solution on time.
  • Strong Engineering and Technology background. Hands-on, who can guide the team through tough architectural decisions.
  • Knowledgable of Financial Reporting, Compliance and Controls. Understand of SAP central finance and Group reporting is a plus
  • Strategic Innovator: Create the Future of Analytics. With validated track to transform strategy into objective and measurable goals.
  • Lead-Manage-Coach the team: Be a dynamic leader who can instill Nike’s values into the team and can guide-develop this team to be a successful team that delivers the desired business results in a manner keeping with our culture.
  • Partnership Demeanor: Have the competencies to build very strong partnerships with other technology leaders that enable your team’s ability to stay on the forefront of industry solutions
  • Effective Communicator: Excellent listener; shown collaborator with senior leaders, peers and staff
  • Passionate: Bring energy and enthusiasm to the job and organization
  • Bold: History of taking sensible, calculated risks and enthusiastically leading through change
  • Achiever: Consistently attain/exceed individual and team goals

 

WHAT YOU BRING

  • 10 years of experience in large-scale software development of which 4 years experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, Kinesis, Kafka etc.)
  • 4 years of management or team lead experience
  • Strong experience in building scalable, real-time, and high-performant data and analytic solutions on cloud platform
  • Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena. Strong experience with relational SQL and programming languages such as Python, Scala, or Java
  • Strong experience with relational data modeling schemas such as Star, Snowflake, or 3rd Normal. Experience with data warehouses/RDBMS like Snowflake & Teradata
  • Strong understanding of algorithms, data structures, data architecture, and technical designs.
  • Has a strong problem solving and analytical approach
  • Experience working in a fast-paced, results driven environment with distributed teams. Experience working in Agile and Scrum development process
  • Able to influence and communicate optimally, both verbally and written, with team members and business partners
  • Bachelor degree or equivalent work experience in related field

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