WHO YOU’LL WORK WITH
You will partner with globally distributed engineering, product, and program teams to ensure that the ecosystem of services remains loosely coupled, independently scalable, and aligned with business needs. You will work with your peers to develop key innovation features and report to the Director for your capability area.
WHO WE ARE LOOKING FOR
We are looking for a dynamic engineering manager with a passion for building and leading high-performing software engineering teams in an AI-augmented development environment. You thrive in a fast-paced, collaborative setting and have a proven track record of delivering scalable data platforms, analytics experiences, and AI-assisted engineering workflows.
Skillset Required
10+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
3+ years of experience leading engineering teams, with demonstrated success in hiring, mentoring, and growing talent.
2+ years of experience driving outcomes with BI engineers and analysts, building modern analytics experiences using web-based stacks (React, Tailwind CSS, D3.js / Recharts / Observable Plot, or similar JS charting libraries) as well as governed semantic models and data marts.
Experience establishing AI-assisted development practices across teams — including effective use of tools like Cursor, Claude Code, GitHub Copilot, and agentic coding workflows to accelerate delivery and raise code quality.
Expertise in at least one major cloud platform: AWS, Azure, GCP, or OCI.
Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, and Apache Airflow.
Strong understanding of data pipeline frameworks, metadata management, and data governance controls.Strong understanding of business-facing data consumption patterns (marketing, paid/owned channels, attribution, customer journeys).
Experience translating data engineering outputs into interactive, self-service analytics applications. Ability to align DE + BI roadmaps to ensure last-mile delivery is not a bottleneck.
Good to have exposure to data science workflows (feature engineering, model pipelines, experimentation frameworks) and familiarity with ML platform integration (MLflow, feature stores, model serving pipelines).
Strong understanding of architectural design patterns and core computer science principles.Proven ability to deliver high-impact, scalable services.
Excellent communication and stakeholder management skills.
WHAT YOU’LL WORK ON
Lead a team of software engineers responsible for building and maintaining scalable data platforms, analytics applications, and AI-augmented engineering workflows.
Drive the development of SDKs, APIs, and microservices that support enterprise-wide data, analytics, and GenAI needs.
Champion AI-assisted development practices — establish team norms for prompt engineering, agentic coding tools, AI code review, and human-in-the-loop quality gates that maximize velocity without compromising reliability.
Guide the transition from legacy BI tooling to modern, code-first analytics built on web technologies (React, TypeScript, JS visualization libraries), enabling faster iteration and richer interactivity than traditional dashboarding platforms.
Collaborate with product managers, architects, and other engineering leaders to define and execute the technical roadmap.
Foster a culture of continuous improvement, innovation, and engineering excellence — including measuring and improving how the team leverages GenAI to reduce toil and focus on high-judgment work.
Ensure the team follows best practices in software development, data governance, and platform observability.
Align engineering initiatives with broader organizational goals such as modernization, cloud cost optimization, data governance, and responsible AI adoption.
Skills Required
- 10+ years of experience in software development with distributed systems and cloud-native architectures.
- 3+ years of experience leading engineering teams with hiring, mentoring, and growth.
- 2+ years working with BI engineers/analysts building modern analytics using web stacks (React, Tailwind CSS, JS visualization libraries).
- Experience establishing AI-assisted development practices and using tools like Cursor, Claude Code, GitHub Copilot.
- Expertise in at least one major cloud platform (AWS, Azure, GCP, or OCI).
- Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, and Apache Airflow.
- Strong understanding of data pipeline frameworks, metadata management, and data governance controls.
- Experience translating data engineering outputs into interactive, self-service analytics applications and aligning DE + BI roadmaps.
- Strong understanding of architectural design patterns and core computer science principles; proven ability to deliver scalable services.
- Excellent communication and stakeholder management skills.
- Exposure to data science workflows and familiarity with ML platform integration (MLflow, feature stores).
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
Nike Insights
What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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