Senior Manager, Engineering – Customer Identity

Nordstrom

. Lead and grow the ICON engineering team, which builds and maintains Nordstrom's unified customer identity platform — the authoritative source of customer core data across all channels and programs.

Posted 3/26/2026full-timeSeattle • Washington • 🇺🇸 United StatesSenior💰 $191,000 - $297,000 per yearWebsite

About the role

Key responsibilities & impact

Lead and grow the ICON engineering team, which builds and maintains Nordstrom's unified customer identity platform — the authoritative source of customer core data across all channels and programs.
Own the reliability, scalability, and correctness of systems that support real-time customer identification, verification workflows, and identity resolution across web, mobile, store, loyalty, and customer care.
Drive the technical strategy for consolidating fragmented customer data from disparate sources (web, mobile apps, loyalty, store, customer care, etc) into a single, trusted customer record.
Collaborate with stakeholders across channels to align platform capabilities with evolving business requirements and ensure seamless integration.
Partner with data and analytics teams to ensure the unified customer record supports both operational and analytical use cases without compromising data quality or integrity.
Champion engineering best practices including service reliability, API design, data consistency, and secure handling of personally identifiable information (PII).
Allocate resources effectively across ongoing platform operations, new feature development, and strategic initiatives; ensure teams are set up for on-time, high-quality delivery.
Foster a culture of continuous improvement, collaboration, and professional growth across a team of full-time engineers and contract contributors.
Manage vendor and partner relationships relevant to customer data enrichment and identity services.

Requirements

What you’ll need

10+ years of engineering experience, with strong foundations in backend systems and data platforms.
5+ years in engineering leadership roles, managing and developing multi-disciplinary teams including both full-time and contract engineers.
Bachelors Degree in Information Technology, Computer Science, Data Science required.
Experience building and operating high-availability, customer-facing platforms that handle real-time reads and writes at scale.
Demonstrated ability to lead teams working on complex data modeling challenges — particularly around identity resolution, deduplication, or unified data records.
Solid understanding of API design and service integration patterns, with experience coordinating platform changes across multiple consuming teams and channels.
Familiarity with secure handling of customer PII, including data governance, access controls, and compliance considerations.
Proven ability to manage cross-functional relationships and translate technical tradeoffs into clear guidance for product and business stakeholders.
Experience leading both software developers and systems engineers in a collaborative, fast-moving environment.
Strong communication skills — able to align diverse stakeholders around a shared technical vision and communicate platform capabilities and constraints clearly.
Commitment to building inclusive, high-performing teams and promoting a culture of continuous improvement and professional development.

Benefits

Comp & perks

Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

backend systemsdata platformsAPI designdata modelingidentity resolutiondeduplicationhigh-availability platformsreal-time data processingdata governanceaccess controls

Soft Skills

leadershipteam managementcollaborationcommunicationcontinuous improvementstakeholder alignmentresource allocationproblem-solvingstrategic thinkingculture building

Certifications

Bachelor's Degree in Information TechnologyBachelor's Degree in Computer ScienceBachelor's Degree in Data Science