Senior Product Manager - Data Science Search Relevance

DICK’S Sporting Goods is committed to creating an inclusive and diverse workforce and is seeking a Senior Product Manager for their Data Science Search Relevance team. The role involves leading the integration of machine learning models into the search experience and driving the evolution of search relevance through collaboration with data scientists and engineers.

Responsibilities:

• 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 in partnership with data science and engineering leads
• Develop go-to-market strategies for search features, including rollout, adoption, and performance tracking
• Manage the product backlog, write effective user stories, and lead sprint planning and agile ceremonies

Requirements:

• 7+ years in product management with 4+ years focused in building machine learning data products for search
• Proven track record building data solutions at enterprise scale
• Experience partnering with and presenting to VP and director-level stakeholders across technology and business teams
• Extensive familiarity with search engines (e.g., Elasticsearch, Solr or similar) and ecommerce APIs
• Strong fluency in ecommerce analytics and customer behavior metrics
• Deep understanding of ecommerce A/B testing methodologies to drive learning and iterative development
• Strong technical fluency and ability to discuss development of data science models and pipelines, data architecture, and integration with search APIs
• Expertise defining and measuring product KPIs that tie to business outcomes
• Familiarity with Agile/Scrum methodologies and product management tools (Jira, Confluence, Aha!, Miro)
• Strong ability to translate complex technical concepts into executive-ready narratives and business value propositions
• Effective facilitation, relationship building and collaboration skills to drive alignment across organizational peers and stakeholder groups
• Experience writing user stories, managing backlogs, and leading agile ceremonies