Senior Product Manager - Data Science Search Relevance - DICK'S Sporting Goods

At DICK’S Sporting Goods , we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

OVERVIEW:

Welcome to Product Management at DICK’S Sporting Goods, where we specialize in delivering retail excellence along every aspect of the customer journey.

Imagine redefining how millions of athletes discover the gear they love. At DICK’S Sporting Goods, we’re on a mission to revolutionize search by transforming how customers connect with our products.

As a Senior Product Manager on the Data Science Search Relevance team, you’ll be at the forefront of innovation, leading the integration of cutting-edge machine learning models into the search experience across digital touchpoints. You will own search relevance as a data product, partnering closely with data scientists and machine learning engineers to power a next‑generation search experience that delivers smarter, more intuitive discovery for athletes and continuously improves through learning.

We are looking for a product leader with strong technical fluency and strategic depth to drive a multi-year evolution of search, spanning natural language processing, semantic understanding, predictive ranking, and personalization at scale.

If you thrive at the intersection of data science, ecommerce and product strategy – and you’re ready to shape the future of retail search – this is your moment.

KEY RESPONSIBILITIES INCLUDE:

Define and execute a multi-year product vision and roadmap for search relevance, scaling a cohesive ecosystem of data science models and search infrastructure to drive revenue growth.

Partner closely with data science, engineering and digital stakeholders to define requirements, prioritize initiatives, and deliver measurable business impact.

Translate complex data science and search concepts into clear business and athlete value, delivering executive-ready narratives that drive alignment, investment, and adoption.

Establish KPIs to measure value realization and impact of search data science capabilities, improving product discovery efficiency and core commerce metrics.

Define and monitor metrics to continuously improve search relevance and model performance, including nDCG, MRR, precision and recall.

Partner with analytics and optimization teams to design and execute A/B tests across digital channels, using experimentation insights to iteratively improve search models and drive incremental sales.

Own prioritization and tradeoff decisions across search relevance models, experimentation strategy, and platform investments