Director of Engineering, Technology Merch Planning - Hybrid - Seattle

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** Job Description
** Reporting to Nordstrom's VP, Technology for Merchandising, this person will lead a team of engineers and collaborate closely with the data science organization to drive the development and implementation of ML-driven Integrated Merchandising solutions. The ideal candidate is a pragmatic leader who can effectively establish a roadmap, framing short-term wins that ladder up to a broader strategy, with a strong emphasis on partnering with the data science organization to create ML-driven decision automation applications.
** This role will be based in Seattle.
**** A day in the life…**
* ** Deliver Outcomes**:
Oversee the development and implementation of merchandising technology solutions, including Financial Planning, Assortment Planning, Selection, and Procurement, focusing on improving Product Margin and assortment productivity at Nordstrom through ML-driven decision automation and focus on integrated merchandising solutions rather than silos.
* ** Build Trust**:
Partner with the executive team and senior leadership in the business, engineering, UX, and data science to establish a multi-year technology roadmap focused on outcomes aligned with organizational priorities, emphasizing the partnership with the data science organization to create analytics and ML-driven decision automation applications.
* ** Think Strategically**:
Identify and evaluate solutions, vendor partners, and the ability to build, develop, and execute a clearly articulated and pragmatic technology roadmap, anticipating complex issues, challenges, and opportunities for both current and future merchandising capabilities.
* ** Drive Vision**:
Develop data-driven recommendations for optimizing assortment at Nordstrom, considering factors such as cost, lead times, customer requirements, market forces, emerging technology, and sustainability, using analytics and ML-driven decision automation applications in partnership with the data science organization.
* ** Make Informed Decisions**:
Foster a problem-solving culture that empowers and enables leaders to identify and resolve issues promptly and effectively, leveraging analytics and ML-driven decision-making in collaboration with the data science organization.
* ** Focus on Organization Efficiency**:
Forecast long-range talent and organizational structure needs, aligning capabilities with the broader enterprise strategy, with a focus on building a strong engineering team that can partner effectively with the data science organization.
* ** Communicate Effectively**:
Champion the technology roadmap and broader functional strategy, creating a compelling vision that inspires teams, senior leaders, and external stakeholders, emphasizing the importance of partnering with the data science organization to create analytics and ML-driven decision automation applications.
* ** Manage Risks & Constraints**:
Navigate through the organization to ensure work is resourced and barriers are removed for teams to properly execute strategic priorities, with a focus on data-driven decision-making and ML-driven automation in collaboration with the data science organization.
* ** Change Leader**:
Manage strategy and change management based on strong business cases, ROI, and long-term organizational goals, utilizing analytics and ML-driven decision automation applications in partnership with the data science organization.
* ** Build High Impact Teams**:
Build and develop a high-performing team, promoting an environment that encourages diversity in styles, perspectives, and experience, with a focus on strong engineering capabilities and effective collaboration with the data science organization.
* ** Stay Relevant**:
Monitor and identify industry standards/trends, adjusting Nordstrom's technology roadmap and capabilities, accordingly, ensuring the incorporation of the latest analytics tools, ML-driven decision automation, and collaboration with the data science organization.
** You own this if you have…
*** 10+ years of experience in Merchandising, Inventory, or Supply Chain engineering at a retail, technology, or other eCommerce company with a complex supply chain or National store…