Director, Global Product and Merchandising Analytics (GPMA) Technology - Enterprise Data & Analytics

At Nike, we serve athletes. Fueled by the insights of the world's best, we design and create products to elevate human potential on a global scale. And it's on us, the Global Operations Team (GOT), to help bring this mission to life.

We are a diverse lineup of thousands spread across the globe. Together, we are building a smarter, more connected and automated value chain. And we are looking for world-class talent like you to contribute to this journey.

ESSENTIAL JOB FUNCTIONS:

  • Partnering with a team of data scientists, business analytics managers and visualization experts to build a data & analytics strategy that supports business growth
  • Partnering with the Global and Geography Technology teams, deliver scalable, 'bleeding edge', technology solutions that push the boundaries of what our business can do today and accelerate the change in how we operate in local geographies and key cities
  • Ensure alignment across both the Geography Analytics team and Global Analytics Leadership teams
  • Be part of the GPMA Leadership team and advise them on Analytics strategies and operational capabilities
  • Understand the GPMA business goals/challenges/needs, IT strategies, and industry trends to develop comprehensive strategies
  • Manage a team of data engineers, visualization experts and scrum-masters
  • Evangelize data and analytics capabilities within the business to help drive adoption of data-driven decision making and automation.
  • Lead Team through annual process of creating, maintaining, and implementing the GPMA Technology Portfolio
  • Manage your portfolio project budgets and scope, and will conduct resource planning for risks that are proactively identified.
  • Deliver on and help accelerate Nikes transition to cloud based technologies and platforms

Proven track record of:
  • Leadership capability, including ability to motivate and mentor others
  • Thinking and planning strategically, with ability to communicate the strategy to a large organization
  • Delivering complex, cross functional technology projects and/or programs
  • Pulling a diverse group of individuals with different goals together and facilitate productive discussions
  • Creating innovative data products and solutions, using the most recent technologies
  • Evangelism of technology & data/analytics capabilities with business executives to solve their toughest challenges
Skills:
  • Strong skills in team leadership and building positive business partner relationships
  • Strong networking skills and ability to work across multiple organizations to accomplish diverse goals
  • Demonstrated ability to influence critical business outcomes in a matrix based, global environment
  • Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical IT teams
  • Comfortable working in a fast-paced, results-oriented environment
  • Ability to work with onshore/offshore teams, and communicate using virtual communication tools (phone, conferencing, online meeting)

Qualifications
Qualifications
  • Bachelor's degree in Computer Science or Business Information Management
  • 7+ years in data and analytics engineering, business, data science or data product owner roles
  • 3+ years in leading teams in increasing size and scope
  • 3+ years providing technical leadership to business & cross-functional teams
  • Hands-on data or analytics engineering experience with 'big data' based technologies and platforms
  • Working knowledge of and/or experience working with cloud technologies and migration of tools/platforms from on-prem to the cloud
  • Demonstrated understanding of data and analytical business capabilities, including applications in machine learning/AI and data science
  • Strong communication, evangelism skills enabling you to lead by influence
  • Experience working in large global organizations
Qualifications
  • Bachelor's degree in Computer Science or Business Information Management
  • 7+ years in data and analytics engineering, business, data science or data product owner roles
  • 3+ years in leading teams in increasing size and scope
  • 3+ years providing technical leadership to business & cross-functional teams
  • Hands-on data or analytics engineering experience with 'big data' based technologies and platforms
  • Working knowledge of and/or experience working with cloud technologies and migration of tools/platforms from on-prem to the cloud
  • Demonstrated understanding of data and analytical business capabilities, including applications in machine learning/AI and data science
  • Strong communication, evangelism skills enabling you to lead by influence
  • Experience working in large global organizations


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