Senior Product Manager - Data Science Search Relevance

DICK'S Sporting Goods

1d

About The Position

Welcome to Product Management at DICK’S Sporting Goods, where the focus is on delivering retail excellence across the customer journey. The company aims to revolutionize search by transforming how customers connect with products. As a Senior Product Manager on the Data Science Search Relevance team, you will lead the integration of cutting-edge machine learning models into the digital search experience. This role involves owning search relevance as a data product, collaborating with data scientists and machine learning engineers to create a next-generation search experience that offers smarter, more intuitive product discovery and continuous improvement through learning. The ideal candidate is a product leader with strong technical fluency and strategic depth, capable of driving a multi-year evolution of search, encompassing natural language processing, semantic understanding, predictive ranking, and personalization at scale. This position is for someone who thrives at the intersection of data science, ecommerce, and product strategy, ready to shape the future of retail search.

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.

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.

Benefits

• competitive total rewards package that could include other components such as: incentive, equity and benefits
• generous suite of benefits
• state paid leave requirements

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees