Nordstrom

Security Engineer

• Develop and execute a strategic roadmap for application security across the SDLC.
• Champion an AI-first approach to application security.
• Lead the design, implementation, and lifecycle management of application security tooling.
• Build, lead, and mentor a diverse team of application security engineers.

Senior Manager, Application Security

Human Resources

• Work across all levels of the organization, serving as a trusted partner to leadership, and operate proactively to bring Corporate HR priorities to life.
• Use business acumen, interpersonal skills, and ability to make data driven decisions and recommendations will be critical.
• Partner with business leaders to identify and implement solutions that address key business priorities.
• Shape, support, and execute the people plan to accelerate business performance.
• Use external and internal insights, data, and trends to identify and help solve key people and business issues.
• Lead talent management activities and workforce planning to ensure a strong pipeline of talent for the organization.
• Guide labor budget planning and execution in close partnership with business leaders, Finance, and key cross functional partners.
• Partner with COEs to implement HR programs and practices in a fast paced, complex, and matrixed business environment.
• Deliver leadership coaching and guide team effectiveness efforts to accelerate organizational performance.
• Support change management and employee engagement efforts.
• Serve as a strategic thought partner to business leaders on organizational design and capability building.
• Build strong, trust-based relationships with business leaders across the organization.
• Manage and drive multiple HR priorities in a fast paced, complex, and matrixed business environment.

Senior HR Business Partner – Nordstrom Product Group

Data Scientist

• Partner with product managers, engineers and other stakeholders to understand business problems and identify opportunities for machine learning applications to optimize item lifecycle performance.
• Perform exploratory data analysis and statistical modelling to extract actionable insights from large and complex datasets
• Build and maintain robust data pipelines to process, clean and transform data from diverse sources ( e.g. SQL datasets, APIs, flat files)
• Design, develop and implement scalable and production-ready machine learning models / optimization algorithms for areas such as demand forecasting, assortment, and pricing optimization.
• Implement robust evaluation and monitoring to validate the performance and reliability of machine learning models
• Communicate complex findings, insights and trade-offs to technical and non-technical stakeholders

Data Scientist – Merchandising, Inventory, Machine Learning

Data Analyst

• Partner with cross‑functional stakeholders to intake, catalog, prioritize, and deliver enhancements to metrics, reports, dashboards, discovery boards, and analytical tools.
• Develop a strong understanding of enterprise people initiatives and business priorities to connect insights across multiple workstreams and domains.
• Proactively manage analytical projects end‑to‑end, maintaining a consistent cadence of communication, alignment, and updates with stakeholders.
• Analyze complex, enterprise‑wide business questions and deliver insights related to workforce health, operational effectiveness, and employee experience.
• Collaborate with analytics teammates and business partners to deliver high‑quality, scalable solutions and recommendations.
• Bring data to life through clear storytelling, tailoring insights for audiences with varying levels of technical expertise, including senior leaders.
• Balance and reconcile competing stakeholder needs in a fast‑paced environment, prioritizing work based on enterprise impact and strategic value.
• Provide KPI definitions, analytical interpretation, and insight development to support leadership and executive‑level presentations.
• Leverage large, complex data sets to define and refine metrics that meaningfully track outcomes across the employee lifecycle.
• Continuously assess the effectiveness of the analytics tool stack, monitor data quality, and partner with stakeholders to drive adoption and usability.
• Serve as a subject-matter expert in Workday Reporting & Prism, Looker, and Google Cloud Platform, ensuring data is accurate, efficient, and decision ready.

Data Analyst 3, People Analytics

• Partner with key talent stakeholders to intake, catalog, prioritize and execute requests and enhancements to new and existing metrics, reports, discovery boards, dashboards and other tools/resources.
• Develop a deep understanding of the Talent and Culture initiatives and priorities to connect the dots across deliverables and provide deep analytics and insights.
• Proactively manage and deliver projects against key deliverables with a strong rhythm of communication and updates to stakeholders.
• Dive deep into complex enterprise-wide business problems and provide insights into the employee experience.
• Collaborate with team members and business partners to deliver high quality solutions and recommendations to a variety of problems across the employee experience domain.
• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and strong ability to merge context and data for effective messaging and relevance of products.
• Reconcile divergent demands from multiple stakeholders in a fast-paced work environment while prioritizing the support of our Talent function.
• Provide definition, KPI, analysis and interpretation support to HR Leadership for Executive presentations and strategic initiatives.
• Use complex datasets to create and implement new data definitions, KPIs and Metrics in the interest of identifying metrics that matter to the employee's journey.
• Proactively assess the effectiveness of existing tool stack, monitor data accuracy, and consult partners to drive adoption.
• Provide expertise in Workday Reporting & Prism, Looker, and the Google Cloud Platform to ensure People Analytics datasets are accurate, efficient, and meaningful.

Data Analyst 3, Talent & People Analytics

Program Manager

• Lead, coach, and develop a team of program managers, fostering a culture of continuous improvement, accountability, and growth.
• Make resourcing and hiring decisions to build and sustain a high-performing team, aligned with strategic priorities.
• Build strong partnerships across the organization, collaborating with product, technology, process, program, and learning teams to drive alignment and uncover new opportunities to work better together.
• Lead the creation of training plans, learning materials, and communications that are clear, well-organized, drive understanding and engagement, and are aligned with industry standards — delivering with minimal oversight.
• Facilitate both in‑person and virtual training sessions, tailoring your approach to different audiences.
• Design how the team measures training effectiveness and drive the path forward to improve deployment strategies, leveraging data and feedback.
• Manage multiple complex projects at once, staying resilient, proactive, and solution‑oriented even when challenges arise.

Manager, Program Management, Business Readiness and Deployment

Executive Assistant

• Own end-to-end calendar management for assigned leaders, including proactive prioritization, preparation, and coordination of meetings and events.
• Actively assess meeting purpose, participants, and timing to ensure the leader’s time is aligned to top priorities.
• Anticipate conflicts, identify trade-offs, and recommend solutions before issues arise.
• Partner with other Executive Assistants to align calendars across senior leaders and ensure seamless scheduling.
• Coordinate the rhythm of the business for the assigned organization – understanding the standing team meetings and ensuring that each meeting is scheduled at the right cadence, with the right attendees.
• Prepare agendas and pre‑reads as needed; ensure the right materials and context are available in advance.
• Support large‑scale meetings (e.g., leadership forums, Town Halls, planning sessions, recognition meetings) through material creation, scheduling, logistics, and coordination.
• Coordinate travel plans, including itinerary creation, adjustments, and expense reconciliation.
• Manage expenses, invoices, and administrative processes with accuracy and timeliness.
• Maintain accurate organizational charts and distribution lists for Inventory Operations teams.
• Build strong working relationships with Executive Assistants across Marketing, Digital, Merchandising, and other areas of the business.
• Serve as a trusted connector and information hub, ensuring smooth communication and collaboration.
• Contribute to continuous improvement of EA best practices, rhythms, and operating standards.

Executive Assistant 1 – Marketing

Sales

• Conduct makeup applications, skincare analyses and recommend products based on customer’s beauty goals
• Collaborate with team members to create a welcoming and inclusive environment
• Set and achieve sales goals, effective use of selling tools including text and social media
• Book appointments and drive sales for in-store Beauty events and services
• Keep department customer-ready through organization and cleanliness
• Manage sales, refunds, exchanges, and build customer loyalty

Beauty Sales

• Lead an enterprise portfolio of cross‑functional programs delivering finance automation, analytics modernization, and AI enablement at scale
• Translate Finance leadership priorities into a clear, outcome‑driven roadmap that balances near‑term efficiency gains with long‑term analytics and AI investments
• Drive material reductions in manual effort and cycle times by standardizing finance workflows through automation, self‑service reporting, and AI‑assisted analysis
• Deliver secure, explainable, and production‑ready analytics and AI solutions that improve visibility into financial performance and enterprise outcomes
• Own end‑to‑end program and portfolio execution, managing dependencies, risks, trade‑offs, and change impacts while providing concise, executive‑ready updates
• Build a high‑performing team and operating model that establishes repeatable delivery standards, strengthens governance, and elevates program execution maturity across Finance.

Director, Program Management – Financial Insights, Analytics & AI

• Partner with key stakeholders within the Workforce Management team and cross-functionally within HR, Finance, Store/Retail Operations and IT on KPI and data delivery/visualization needs
• Participate in various workstreams to provide a foundation in advanced application of data intelligence, processes and tools
• Extract relevant data from source databases to outline key trends around demand planning, staffing, and scheduling
• Utilize data visualization to bring data to life and tell a compelling story built around actionable insights and support the communication of solutions to stakeholders
• Evolve the data analytics and reporting function by automating many of the time intensive (but largely static) data pulls and dashboards/visualizations being performed today, while incorporating new ideas and initiatives
• Build and maintain self-service reporting and scenario planning tools to place the intelligence of HR workforce planning in store operations’ hands

Data Analyst 2, HR Operations

Engineer

• As an Engineer 1, you will be a key member of a team of Nordstrom Technology professionals
• Applies scientific, mathematical and social principles to design, build, and maintain technology products, devices, systems and solutions
• Provide amazing customer experiences while meeting the needs of the business
• Contributes to code, design, collaborates with local team and has scope/accountability
• Tests all scenarios and conforms to quality standards
• Measures and understand local scope
• Conforms to secure coding practices and secure system fundamentals
• Displays knowledge of Computer Science fundamentals related to own work

Engineer 1 – Product Group Technology Team

• Influence strategy and turn into clear plans, milestones, and deliverables
• Use feedback, complaints, and experience data to surface pain points and opportunities
• Map and refine workflows that support escalations, handoffs, and high‑touch service
• Align partners across product, operations, stores, loyalty, and customer care

Customer Program Manager 2

Manager

• Conduct makeup applications, skincare analyses and recommend products based on customer’s beauty goals
• Collaborate with team members to create a welcoming and inclusive environment for all customers
• Set and achieve personal and counter sales goals, utilizing both in-store and digital selling tools (inclusive of text and social media)
• Manage the scheduling and execution of vendor events and promotions
• Build and maintain strong vendor relationships to maximize business results
• Keep department customer-ready through organization and cleanliness
• Keep up with the latest beauty trends, products, and industry knowledge through trainings provided by Nordstrom and luxury brand partners
• Manage sales, refunds, exchanges, and build customer loyalty by opening new Nordstrom Rewards program accounts

Beauty Counter Manager

• Own end-to-end calendar management for the SVP of Digital Commerce and VP, Digital Production.
• Actively assess meeting purpose, participants, and timing to ensure the leader’s time is aligned to top priorities.
• Anticipate conflicts, identify trade‑offs, and recommend solutions before issues arise.
• Partner with other Executive Assistants to align calendars across senior leaders and ensure seamless scheduling.
• Coordinate the rhythm of the business for Digital Commerce organization.
• Prepare agendas and pre‑reads as needed; ensure the right materials and context are available in advance.
• Support large‑scale meetings through material creation, scheduling, logistics, and coordination.
• Coordinate travel plans, manage expenses, invoices, and administrative processes with accuracy and timeliness.
• Maintain accurate organizational charts and distribution lists.

Executive Assistant 1 – Digital Commerce

Financial Planning and Analysis

• Lead the financial components of the enterprise long-range planning (LRP) process
• Partner with finance and executive leadership to translate strategic priorities into financial targets and actionable roadmaps
• Develop macroeconomic, industry, and business performance scenarios to inform decision-making
• Provide insights on growth opportunities, risks, and strategic trade-offs
• Develop and manage the enterprise capital allocation framework to optimize returns and support strategic priorities
• Evaluate investment opportunities, including organic growth initiatives, strategic projects, and potential M&A
• Lead financial modeling, ROI analysis, and business case development for major investments
• Serve as a thought partner to the CFO and executive team on key strategic initiatives
• Drive cross-functional alignment on strategic priorities and performance metrics
• Own and maintain the enterprise 3-statement financial model,
• Lead the annual and rolling forecast process, translating business assumptions into accurate, timely financial projections