Senior Developer & AI Innovation Lead Assortment Planning

Job Title:
Senior Developer & AI Innovation Lead Assortment Planning
Location:
Beaverton, OR
Duration: 06 months
Hybrid:
Mon Thurs onsite, Fri remote

Job Description

Location and/or time zone:
Onsite at PHK with fridays WFH

Reason for opening:
Project Support

Expected contract length: 26 W, 1 D

Team details & who they will work with:
Global Sports Planning

Must Have Skills

Demonstrated experience applying AI/ML in a product or business context not just experimentation, but solutions that users depend on

Proven ability to take a legacy tool or process and modernize it end-to-end (architecture, data layer, UX, deployment)

Experience designing and building data-intensive applications working with large, structured datasets, aggregation logic, and multi-dimensional planning grids

Desired soft skills:

Minimum required years of experience

5 years of software development experience with strong proficiency in at least two of:
Python, Type Script/JavaScript, SQL, or cloud-native frameworks

Education requirements: Bachelors not required

Soft skills:

Strong communication skills with the ability to translate between technical and business stakeholders; comfortable leading workshops, demos, and whiteboard sessions with non-technical planners

Self-directed mindset: you can take ownership of a problem space, define the roadmap, and execute with minimal direction

About the Role
We are looking for a forward-thinking technologist who sits at the intersection of modern software development and applied AI. This is not a traditional developer role it is a transformation role. You will inherit a production Assortment Planning that Sport Planners rely on daily to build multi-season demand forecasts, manage style-level assortment plans, and support the Line Planning process across Footwear, Apparel, and Equipment.

Today, the tool is Excel and VBA-based. Tomorrow, it needs to be something fundamentally better.

Your mission is to reimagine how planners interact with Assortment and Demand data reducing cycle times from weeks to hours, replacing manual macro-driven workflows with intelligent, AI-augmented experiences, and making the platform resilient enough to evolve as business needs change. You will lead this evolution end-to-end: from vision through architecture through delivery.

Key Responsibilities
AI Strategy & Transformation

Define and execute the technical vision for modernizing the LRAP platform, moving from Excel/VBA to a scalable, cloud-native architecture

Identify high-impact opportunities to apply AI/ML such as forecast generation, anomaly detection in plan inputs, intelligent defaults, and natural-language plan adjustments and prioritize them against business value

Serve as the team's AI thought leader: evaluate emerging tools, frameworks, and paradigms (LLMs, copilots, agentic workflows) and translate them into practical capabilities for Sport Planning

Platform Development & Architecture

Design and build the next-generation LRAP platform, enabling planners to construct and adjust multi-season demand forecasts at Mid-Level through Style/Geo granularity

Architect data pipelines that replace manual CSV ingestion with automated, real-time data flows from upstream systems

Build intuitive interfaces that let planners filter, slice, and manipulate plans (by Sport, Gender, Category, Season, Silhouette, Geo) with the speed and flexibility they have today without the fragility of spreadsheet macros

Ensure seamless version control, import/export, and plan comparison capabilities that planners depend on for seasonal continuity

Planner Partnership & Delivery

Partner directly with Sport Planners to understand their workflows, pain points, and decision-making processes turning planner feedback into rapid iterations

Collapse the feedback-to-deployment cycle: drive a culture where plan adjustments and tool enhancements are delivered in hours, not weeks

Own the end-to-end delivery lifecycle: requirements, design, development, testing, deployment, and ongoing support

Maintain and support the existing LRAP tool during the transition period, ensuring zero disruption to active planning cycles

Team Enablement & Influence

Mentor teammates on AI-first development practices and modern engineering approaches

Advocate for and demonstrate how AI can augment (not replace) planner expertise building trust through practical, visible results

Contribute to broader technology strategy by sharing learnings and patterns that can scale across the Planning organization

Qualifications
Required

5 years of software development experience with strong proficiency in at least two of:
Python, Type Script/JavaScript, SQL, or cloud-native frameworks

Demonstrated experience applying AI/ML in a product or business context not just experimentation, but solutions that users depend on

Proven ability to take a legacy tool or process and modernize it end-to-end (architecture, data layer, UX, deployment)

Experience designing and building data-intensive applications working with large, structured datasets, aggregation…