位于c23的 19 个优质sr. data platform engineer, emerging technology solutions职位（正在招聘！）

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Senior Director, ED&AI, GC

Nike -
上海市

立即申请

职位详情

全职
8 天前

完整职位描述

Position Type

Full Time

Career area

Machine Learning

Location

Tower 1, LiNa Building, No. 99, Shanghai, Shanghai 201703, China

Job ID

R-90410

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, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

The Role

Reporting directly to VP, Technology GC, the Senior Director, Enterprise Data & AI (ED&AI) GC is a senior leadership role responsible for shaping and executing the enterprise data, analytics, and AI vision across Greater China. This leader will build and scale team to power data-driven decision making, automation, and breakthrough AI-enabled products that support GC's business growth.

In this role, you will:

Define and articulate a compelling enterprise data & AI vision, strategy, and multi-year roadmap in alignment with GC business priorities and our global technology strategy.
Lead and grow teams to build a high-performing and integrated organization.
Partner with the Global and Geography Technology teams to deliver scalable, 'bleeding edge' technology solutions that push the boundaries of what the business can do today and accelerate change in GC.
Evangelize data, analytics, and AI capabilities across the business to drive adoption of data-driven decision making, automation, and AI-powered ways of working.
Drive measurable business outcomes through data, analytics, and AI, accelerating consumer engagement, digital commerce growth, speed of decision-making, and operational efficiency across Greater China.
Lead the annual process of creating, maintaining, and implementing the GC ED & AI Technology Portfolio.
Identify and prioritize high-impact opportunities to leverage AI/ML and analytics to address customer needs and solve complex, high-business-impact problems.
Oversee end-to-end delivery of data platforms and AI/ML products, from ideation and architecture through launch, iteration, and operations.
Elevate engineering excellence through best practices in data architecture, MLOps, security, scalability, uptime, and reliability.
Ensure adherence to data governance, AI ethics, privacy, and regulatory standards in partnership with legal and compliance teams.
Manage cross-functional teams and stakeholders — including product owners, data engineers, ML engineers, and scrum masters — to deliver against a shared backlog.

What You'll Need to Succeed

Experience & Leadership

15+ years in data and analytics engineering, data science, AI/ML, or data product roles, with a proven track record of building and scaling enterprise data & AI capabilities.
Significant experience leading and growing multi-disciplinary technology teams, including people leaders, and providing technical leadership to cross-functional and business teams.
Demonstrated success delivering AI/ML-powered products and enterprise-scale data platforms from strategy through production.
Experience leading AI transformation beyond data science initiatives and agentic workflows to also include leading AI-driven operating model transformation with AIDLC (AI Development Life Cycle).

Technical Expertise

Data or analytics engineering experience with 'big data' technologies and platforms (e.g., Hadoop ecosystem, Spark, Hive).
Knowledge of and experience with cloud technologies (e.g., AWS – EMR, S3, Lambda) and migration of tools/platforms from on-prem to the cloud.
Strong understanding of AI/ML technologies, data pipelines, machine learning frameworks, and modern cloud infrastructure.
Experience with data warehousing, dimensional modeling, ETL development, streaming/event processing (e.g., Kafka, Kinesis), and data visualization/BI tools.
Familiarity with Agile/Scrum product development methodologies and MLOps/DevOps practices.

Leadership & Soft Skills

Exceptional strategic thinking, problem-solving, and the ability to translate business needs into a data & AI roadmap.
Excellent communication and stakeholder-influencing skills, including with senior/executive leadership.
Ability to thrive and lead in a fast-paced, ambiguous, and rapidly evolving environment.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field; MBA a plus.
Experience with AI ethics, privacy, and regulatory considerations, particularly within Greater China.
Knowledge of industry-specific AI applications (e.g., retail, e-commerce, supply chain, etc.).
Experience partnering across global and geography technology organizations in a matrixed environment.

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 an equal opportunity employer. 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.

What You Can Expect

OUR HIRING GAME PLAN

01 Apply

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

02 Meet a Recruiter or Take an Assessment

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.

03 Interview

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.

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在c23的sr. data platform engineer, emerging technology solutions个职位

Senior Director, ED&AI, GC

Senior Applied Scientist, Large Language Models

Sr Pre-sales Technical Support Manager

Principal Product Manager

Senior Corporate Strategy Analyst

Process Support Engineer - Inline 3D X-ray

Test Automation Engineer (In-Vehicle Infotainment)

(Senior) Android Developer

Technical Project Lead

Supply Chain & Sourcing Manager

Senior AI Architect

汽车软件与AI解决方案销售_ETAS

Senior Expert for eCompressor_ PS-TS

Inspections Superintendent

Senior Manager, SRE

计算机视觉科学家 (边缘计算与智能家居)_CR

Middle/ Senior Frontend developer - React

Hardware System Architect

Machine Learning Engineer, ML Infrastructure