Technical Program Manager, Data Platform Enablement & Engineering (Hybrid - Seattle, WA)

This role will contribute to orchestration and automation efforts within the Platform Enablement and System Architecture workstreams, as well as lead broader initiatives that improve developer productivity, infrastructure scalability, and data accessibility. This role partners with engineering, product, data governance, and business teams to deliver solutions that support Nordstrom’s data transformation goals.

A day in the life...
 

Program Leadership & Strategy

• Drive platform enablement initiatives across BIT, including infrastructure automation, developer tooling, and orchestration frameworks

• Influence orchestration capabilities within Platform Enablement and System Architecture workstreams, ensuring alignment with strategic objectives

• Contribute to delivery roadmaps for technical initiatives that span data pipeline management, infrastructure provisioning, and workflow automation

• Coordinate across BIT workstreams including Data Strategy & Governance and Analytics Enablement to ensure cohesive delivery
   

Technical Program Execution

• Manage scope, resources, and schedules for technical programs supporting infrastructure automation, developer productivity, and orchestration tooling

• Lead initiatives involving Infrastructure as Code (IaC), CI/CD pipeline automation, and self-service infrastructure provisioning

• Support the implementation of workflow engines, automated testing frameworks, and cloud-native infrastructure solutions
   

Stakeholder Management & Communication

• Build strong relationships with data engineering, platform, and analytics teams across business domains

• Facilitate alignment between technical capabilities and business requirements for merchandising, finance, customer, and supply chain analytics

• Lead technical design reviews and serve as a trusted partner in decisions related to platform architecture and automation
   

Infrastructure & Platform Management

• Identify and resolve dependencies across cloud platforms (GCP, AWS), data processing engines, and analytics tools

• Ensure platform solutions meet reliability, performance, and compliance standards

• Promote adoption of modern infrastructure patterns including event-driven architectures and automated provisioning
   

Process Innovation & Continuous Improvement

• Lead teams through full lifecycle delivery of platform initiatives, from design to operational handoff

• Implement program management methodologies tailored to infrastructure and automation workflows

• Drive continuous improvement in developer productivity and platform scalability

• Establish metrics to monitor system performance, automation adoption, and delivery efficiency

You own this if you have...

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience

• 4+ years of experience in technical program management, preferably in data platforms, infrastructure, or developer tooling

• Proven ability to manage complex technical programs with multiple dependencies

• Familiarity with orchestration platforms (Airflow, Prefect, Dagster) and workflow management systems

• Experience with IaC tools (Terraform, CloudFormation), CI/CD pipelines, and containerization (Docker, Kubernetes)

• Knowledge of cloud platforms (GCP, AWS), data processing engines (BigQuery, Spark), and modern data architecture

• Knowledge of programming/scripting languages (Python, SQL, bash)

• Skilled in project management tools (JIRA, Confluence) and Agile methodologies

• Deep understanding of SDLC and DevOps practices

• Experience managing cross-functional technical programs and system integrations

• Strong stakeholder management and communication skills across technical and business audiences

• Ability to lead cross-functional teams and drive alignment on complex initiatives

• Experience translating technical concepts into business value and facilitating change adoption

• Experience in data platform or analytics engineering is preferred

• Familiarity with enterprise data governance, metadata management, or BI platforms

• Background in developer productivity and infrastructure automation

• Experience in retail, e-commerce, or other data-intensive domains is a plus