Director, Software Engineering – Data, Analytics, andIntelligence, ITC

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WHO

YOU’LL WORK

WITH

As

Director of Software Engineering for the Corporate Function CF Data

Pod in DAI, you will lead a high-performing team of software

engineers focused on building and scaling Nike’s data platforms and

marketplace capabilities. You will collaborate closely with product

managers, architects, principal engineers, and leaders across

Nike’s Global Technology teams, driving alignment and technical

decisions to support the CF domain’s modernization and analytics

goals

WHO

WE ARE LOOKING

FOR

Nike

seeks a strategic, visionary Director of Software Engineering to

lead the Corporate Function - CF Pod within DAI. This leader will

drive the architecture, delivery, and operational excellence of

cloud-native data platforms and marketplace solutions, enabling

decentralized data ownership and enterprise-wide discoverability.

The ideal candidate brings deep experience in distributed systems,

data mesh architectures, and marketplace enablement, fostering a

culture of ownership, accountability, and technical

excellence.

Leadership

Management

15+

years in software

engineering with

5+

years

leading engineering teams with success in hiring, mentoring, and

growing

talent.

Experience

building inclusive, high-performing teams and fostering a culture

of ownership and

accountability .

Strong

focus on automation-driven scaling to reduce toil and minimize

human

error.

Emphasis

on engineering best practices (code reviews, release

management).

Ability

to translate strategy into measurable

objectives and

drive process

improvement.

Ensure

successful delivery of roadmap items through cross-functional

problem-solving

Technical

Expertise

Strong

foundations in distributed systems, cloud-native architectures, and

data

platforms.

Deep

knowledge of modern architectural principles (REST, domain-driven

design,

microservices).

Expertise

in at least one major cloud platform (AWS, Azure, GCP, or

OCI).

Hands-on

experience with Databricks, Snowflake, AWS RDS, Azure SQL, GCP

Cloud SQL, Python, Apache Spark, and Apache

Airflow.

Experience

with CI / CD automations through Jenkins,

GitHub

integration strategies, and serverless architectures and NoSQL

databases

Proven

ability to design and deliver Self-service platforms and automation

capabilities through Data-as-a-Service platforms with observability

and

governance.

Design

and implement cloud compute governance policies and automation to

optimize resource

utilization , cost

management, and

compliance

Familiarity

with front-end frameworks (React, Vue.js) and back-end technologies

(Node.js,

Python).

WHAT

YOU’LL WORK

ON

You

will lead, mentor, and manage multiple engineering squads to

deliver software aligned to cross-functional and multi-year

roadmaps, supporting Nike’s hybrid data mesh and marketplace

strategy for the CF domain. You will build a culture of trust and

innovation, enabling continuous

transformational change and accelerating Nike’s technical

maturity.

Responsibilities

Lead

and manage software engineering teams responsible for building and

maintaining

scalable data platforms and marketplace services for the CF

Domain.

Collaborate

with product managers, architects, and engineering leaders to

define and execute the technical roadmap for CF data

modernization.

Champion

the implementation of hybrid data mesh architecture and enterprise

data marketplace for the business domain, enabling domain autonomy

and centralized

governance.

Empower

teams to produce and manage data products autonomously,

leveraging

standardized metadata, APIs, and access

controls.

Design

and implement cloud-native architectures

leveraging major

cloud platforms, ensuring robust, secure, and cost-effective

solutions.

Drive

the development of SDKs, APIs, and microservices for seamless

integration and interoperability across Nike’s data

ecosystem.

Ensure

adherence to security best practices, compliance requirements, and

data governance

standards.

Foster

a culture of

ownership ,

continuous improvement, innovation, and engineering

excellence.

Align

engineering initiatives with organizational goals such as

modernization, cloud cost optimization, and data

governance.

Enable

decentralized domain ownership and self-service data product

management, supporting the hybrid data mesh and marketplace

vision.

Accelerate

time-to-insight and operational decision-making for CF business

partners by delivering high-quality, discoverable, and secure data

products.

Support

cross-functional innovation and monetization through marketplace

analytics and cross-charging

models.

Report

on team progress, challenges, and outcomes to senior

leadership.