Senior Technical Program Manager – Platform & Data

Role Overview

• Scale and mature Nordstrom’s enterprise data governance operating model—strengthening ownership, stewardship, data quality, and AI-first metric standardization so leaders can rely on consistent, trusted reporting.
• Drive execution by owning roadmaps, timelines, dependencies, and delivery across governance initiatives, surfacing risks and trade-offs early.
• Partner with product, engineering, data platform, analytics, and business leaders (e.g., Supply Chain, Customer, Marketing, Merchandising) to embed governance into end-to-end data lifecycle workflows and tools—and align priorities, requirements, and adoption.
• Lead change and alignment through workshops, clear communications, and enablement—building shared understanding, adoption, and accountability for high-quality, well-governed data.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field (Master’s preferred), or equivalent practical experience.
• 7+ years of experience in technical program management, with a focus on data engineering, analytics, or a closely related data discipline.
• Proven experience delivering complex, cross-functional programs in a matrixed organization—partnering across product, engineering, data platform, analytics, and business to operationalize enterprise metrics and measurement frameworks and drive outcomes ready for leadership reporting.
• Demonstrated ability to influence senior product and engineering leaders through clear communication, sound judgment, and data-grounded problem solving—driving alignment and decisions in ambiguous environments.
• Exceptional storytelling and executive communication skills: able to translate data, engineering progress, and program status into narratives that resonate with executives, domain leaders, and non-technical audiences.
• Experience supporting executive-level operating rhythms (e.g., weekly business reviews, steering committees, etc.), translating strategy into measurable outcomes and durable execution plans.
• Strong technical foundation with the ability to partner effectively on data pipelines and AI-enabled tools—helping teams diagnose issues, weigh trade-offs, and drive resolution.
• Working knowledge of SQL, with the ability to read and review queries to understand data logic, validate results, and troubleshoot issues; experience with Python, R, or similar tools for analysis, automation, experimentation support, and/or data validation is a plus.
• Understanding of modern data platforms (e.g. Google Cloud Platform, Databricks, Azure) and familiarity with data cataloging tools (e.g. DataHub, Collibra) is a plus.
• PMP, Agile, or Scrum certification(s) are a plus.

Tech Stack

• Azure
• Cloud
• Google Cloud Platform
• PMP
• Python
• SQL

Benefits

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