Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it's about each person bringing skills and passion to a challenging and constantly evolving game.
WHO WE ARE LOOKING FOR
We are looking for a Distinguished Engineer, who will be part of a team passionate about building and running all the technology applications that powers planning for Nike. This is a critical senior technical leadership role that will own the transformation of applications that are critical for operating and growing Nike's business profitably.
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A successful candidate will be a engineering thought leader and coach with deep technical expertise and delivery experience in mentoring and coaching multiple engineering teams including partner teams to foster a collaborative and innovating engineering culture. They should be proficient in resolving technical, business, and organizational difficulties, facilitating learning and development within the organization, and creating links to strategic allies through technology and internal processes. The selected candidate for this role will have a consistent track record of driving change and transformation in delivering modern planning applications that leverages data, machine learning and artificial intelligence to deliver global planning and forecasting applications that are highly accurate and extremely productive. The selected candidate will also have a track record in making strategic decisions on build/buy on all layers of planning applications (data foundations, decisioning models, simulation engines and user experience).
WHAT YOU WILL WORK ON
In this role you will translate business strategies and objectives into strategic technical direction, leading implementations, and have these key responsibilities:
- Lead engineering strategy and execution for our critical global planning applications including
- Demand Forecasting
- Price Optimization
- Supply Planning
- Inventory Management
- Allocations
- Be the lead conduit to work with other engineering teams in ED&AI, Product Creation and others to ensure our practices for integrations are modern, optimal and sustainable.
- Be the chief engineer in DSM domains to ensure right choices are made on build/buy, design and engineering patterns, devops and approach for AI/ML covering applications we buy/build and applications we integrate with.
- Ensure that all applications in DSM domain have clearly defines and measurable metrics to cover all aspects of operations such as speed, resilience, cost, information security and agility.
- Lead feasibility analysis and serve as technical leader for the most sophisticated multi-functional initiatives.
- Lead the transition of existing infrastructure to cloud and edge environments, ensuring seamless migration and integration.
- Quickly and deeply diagnose most difficult technical issues in DSM applications domain,
- Develop technical roadmaps for DSM applications, aligning with the strategic goals.
- Mentor and coach engineers in best practices for cloud architecture, security, and performance.
- Advise senior management and stakeholders on advanced/emerging technologies and their applications in software engineering including data and AI/ML.
- Establish best-practice software engineering methodologies for a global, 24x7, high-volume, high-availability, highly analytical and critical production environment, based on metrics-based KPIs.
WHO YOU WILL WORK WITH
This role reports to the VP of Supply Chain and Planning and will connect across of the domain. This role partners closely with Domain teams (Product and Engineering), ED&AI, the Distinguished Engineering Community, and key partners across Global and Geographies. This role works all DSM applications globally with close intersection with Enterprise Data and AI teams.
WHAT YOU BRING
To make it clear, we're not looking for just anyone! We're looking for someone special, someone who has these experiences and clearly demonstrates these skills:
- Bachelors' degree in Computer Science, Software Engineering or equivalent experience.
- 15+ years software engineering experience as an individual contributor developing custom software using common system like Java, Python, Rust, and/or JavaScript.
- 7+ years professional experience with AWS or other major cloud provider.
- 5+ years in as lead engineering role for building and maintaining planning and forecasting applications in retail or adjacent industries
- 7+ year's experience in working with high scale businesses with complex data infrastructure,
- Engineering life-cycle management of software infrastructure.
- Experience in working with product oriented culture
- Prior experience in working with engineering teams through major technology transitions.
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.